Data

read_csv(here::here("data", "master_tables_status.csv")) %>% 
  mutate(attachments_table = replace_na(attachments_table, 0)) %>% 
  rename(`attachments table` = attachments_table,
         `efficacy and sophistication measures` =`term counts`) %>% 
  kablebox()
agency_acronym attachments table comments table efficacy and sophistication measures
CFPB 70778 231589 231589
CFTC 8496 37675 37675
FRS 7146 7116 7116
NCUA 53 66 66
OCC 11926 12017 12017
SEC 6998 9368 9368
FDIC 0 807 807

The root for this script is finreg. Most of the data are in finreg/data (some in a subfolder merged_resources). Others are up one level in FINREGRULEMAKE2/Data. This can and should be streamlined significantly.

Rules and comments:

  • Agency actions: finreg/data/actions.csv
  • RIN-level data: finreg/data/dodd-frank-rulemaking-directory_doc_oriented_wdescription.xls and finreg/data/docket_related_rin_lookup.csv
  • Docket-level comment data: finreg/data/matches_per_docket.csv

Resource data: - For commenters: finreg/data/match_data_clean.Rdata

Resource data for the full population of organizations, including non-commenters:

  • Nonprofit assets and revenue from 990 data from https://www.irs.gov/charities-non-profits/form-990-series-downloads: finreg/data/nonprofit_resources.Rdata or finreg/data/merged_resources/nonprofit_resources.csv
  • FDIC assets (ASSET) and bank class (BKCLASS): finreg/data/FDIC_resources.Rdata or finreg/data/merged_resources/FDIC_Institutions.csv
  • Credit unions Total Assets scraped from consolidated call report files scraped from https://www.ncua.gov/analysis/credit-union-corporate-call-report-data by acquisition/get_credit-Unions.py: Data/creditunions.csv (up one level, not in finreg)
  • Campaign donations (MeanContribAmount and MeanContribAmount) from https://www.opensecrets.org/: finreg/data/merged_resources/opensecrets_resources_JwVersion.csv
  • Market capitalization (marketcap) from compustat? Data/compustat_names.csv and SEC’s CIK database Data/CIK.csv: finreg/data/merged_resources/compustat_resources.csv

Sophistication and Efficacy Measures are described here: https://judgelord.github.io/finreg/efficacy

# actions 
actions <- read_csv(here("data" , "actions.csv"))

actions %>% distinct(docket_id) %>% nrow
## [1] 454
library("readxl")

rins <- read_excel(here::here("data", "dodd-frank-rulemaking-directory_doc_oriented_wdescription.xls")) %>% 
  rename(docket_id = identifier)  %>% 
  dplyr::select(-"...1")

lookup <- read_csv(here::here("data", "docket_related_rin_lookup.csv")) %>% 
  dplyr::select(-"...1") %>% 
  mutate(across(everything(), str_squish))

rin_lookup <- full_join(rins, lookup, by = "docket_id", suffix = c(".directory", ".lookup")) %>% 
  mutate(title = str_to_title(title) %>% str_squish()) %>% 
  mutate(across(everything(), str_squish))
wide =  read.csv( here::here("data", "pivot_example.csv") )
n_rules <- nrow(wide)

long = read.csv( here::here("data", "actions.csv") )

long %<>% 
  mutate(year = publication_date %>% str_sub(1,4),
         Stage = stage  %>% 
           str_replace("ANPR", "Advance NPRM (ANPRM)") %>% 
           str_replace("^FINAL", "Final Rule") %>% 
           str_replace("GUIDANCE", "Guidance") %>% 
           str_replace("INTERIM-FINAL", "Interim Final Rule") %>% 
           str_replace("^NPR", "Notice of Proposed\nRulemaking (NPRM)")) %>% 
    group_by(agency_acronym) %>%
  add_count(name = "agency_total") %>% 
  ungroup()

n_actions <- nrow(long)

long %>% 
  filter(Stage %in% c("Advance NPRM (ANPRM)", "Final Rule", "Interim Final Rule", "Notice of Proposed\nRulemaking (NPRM)"),
         agency_acronym %in% c("FRS", "CFPB", "SEC", "CFTC", "FDIC", "OCC",  "NCUA") ) %>% 
  count(year, agency_acronym, Stage) %>% 
  ggplot() +
  aes(y = n, x = year, fill = Stage) %>% 
  geom_col(alpha = .8) + 
  facet_wrap("agency_acronym", scales = "free") +
  scale_fill_viridis_d() +
  labs(fill = "Document Type",
       x = "", 
       y = "",
       caption = "Dodd-Frank regulatory actions from  the Consumer Financial Protection Bureau (CFPB),
Commodity Futures Trading Commission (CFTC), Federal Deposit Insurance Corporation (FIDC), 
Federal Reserve (FRS), National Credit Union Administration (NCUA), 
Office of the Comptroller of the Currency (OCC), and Securities and Exchange Commission (SEC)") + 
  theme_minimal() +
  theme(axis.text.x = element_text(hjust = .7, angle = 60),
        panel.grid.major.x = element_blank(),
        panel.grid.minor.x = element_blank(),
        plot.caption = element_text(hjust = 0))
Dodd-Frank Act Implimenting Actions by Agency

Figure 1: Dodd-Frank Act Implimenting Actions by Agency

Some dockets don’t have related rins in the lookup table

# ~35/2 with different comment counts per docket 
# ~325/2 with different titles per docket 
# ~98/2 with different related RINS / lowest related rin per docket 
# 115/2 with different docket_urls

# missing related RINs
rin_lookup %>% 
  dplyr::select(# title, 
    docket_id,
    RIN.directory, RIN.lookup,
         related.rins, 
         lowest.sorted.rin.of.related.rins, 
         docket_url.directory, docket_url.lookup,
             comment_count) %>%
  distinct() %>% 
  filter(is.na(related.rins)) %>% 
  kablebox()
docket_id RIN.directory RIN.lookup related.rins lowest.sorted.rin.of.related.rins docket_url.directory docket_url.lookup comment_count
S7-14-15 NA NA NA NA https://www.sec.gov/comments/s7-14-15/s71415.shtml NA 6
R–1405 7100-AD64 NA NA NA https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1405&doc_ver=2 NA 12
FSOC-2011-0004 4030–AA02 NA NA NA https://www.regulations.gov/docket?D=FSOC-2011-0004 NA 11
FSOC-2010-0001 NA NA NA NA https://www.regulations.gov/docket?D=FSOC-2010-0001 NA 71
FSOC-2011-0003 4030–AA00 NA NA NA https://www.regulations.gov/docket?D=FSOC-2011-0003 NA 15
3064–AE45 3064–AE45 NA NA NA https://www.fdic.gov/regulations/laws/federal/2016/2016_enhanced_cyber_risk_3064-ae45.html NA 24
OCC-2014-0029 1557–AD97 NA NA NA https://www.regulations.gov/docket?D=OCC-2014-0029 NA 26
R-1550 7100–AE61 NA NA NA https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1550&doc_ver=1 NA 54
3064–AE01 3064–AE01 NA NA NA https://www.fdic.gov/regulations/laws/federal/2013/2013-leverage_ratio_standards.html NA 27
OTS-2011-0002 1550–AC41 NA NA NA https://www.regulations.gov/docket?D=OTS-2011-0002 NA 2
OCC-2010-0009 1557–AD33 NA NA NA https://www.regulations.gov/docket?D=OCC-2010-0009 NA 18
R-1401 7100-AD61 NA NA NA https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R-1401&doc_ver=2 NA 10
R-1401 7100-AD61 NA NA NA https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1401&doc_ver=2 NA 32
OCC-2014-0004 1557–AD73 NA NA NA https://www.regulations.gov/docket?D=OCC-2014-0004 NA 1
NA NA NA NA NA https://www.fdic.gov/regulations/laws/federal/2011/11comorderly.html NA 10
S7-02-16 NA NA NA NA NA NA NA
NA NA NA NA NA https://www.fdic.gov/regulations/laws/federal/2010/10comorderliq.html NA 39
OCC-2011-0006 1557–AD41 NA NA NA https://www.regulations.gov/docket?D=OCC-2011-0006 NA 44
OCC-2011-0016 1557–AD47 NA NA NA https://www.regulations.gov/docket?D=OCC-2011-0016 NA 8
CFPB-2013-0038 NA NA NA NA NA NA NA
NA NA NA NA NA https://www.fdic.gov/regulations/laws/federal/2013/2013-diversity-assessment.html NA 47
NA NA NA NA NA https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2013/joint-standards.aspx NA 14
OCC-2013-0014 NA NA NA NA https://www.regulations.gov/docket?D=OCC-2013-0014 NA 79
CFPB-2013-0029 NA NA NA NA https://www.regulations.gov/docket?D=CFPB-2013-0029 NA 28
NA NA NA NA NA https://www.fdic.gov/regulations/laws/federal/2015/2015-assessing_diversity_policies_practices.html NA 1
s7-08-13 NA NA NA NA https://www.sec.gov/comments/s7-08-13/s70813.shtml NA 53
S7-37-10 NA NA NA NA https://www.sec.gov/comments/s7-37-10/s73710.shtml NA 123
S7-09-15 NA NA NA NA https://www.sec.gov/comments/s7-09-15/s70915.shtml NA 47
S7-05-11 NA NA NA NA https://www.sec.gov/comments/s7-05-11/s70511.shtml NA 39
S7-03-13 NA NA NA NA https://www.sec.gov/comments/s7-03-13/s70313.shtml NA 266
S7-07-11 NA NA NA NA https://www.sec.gov/comments/s7-07-11/s70711.shtml NA 44
S7-36-10 NA NA NA NA https://www.sec.gov/comments/s7-36-10/s73610.shtml NA 77
S7-25-10 NA NA NA NA https://www.sec.gov/comments/s7-25-10/s72510.shtml NA 94
S7-04-11 NA NA NA NA https://www.sec.gov/comments/s7-04-11/s70411.shtml NA 43
S7-17-11 NA NA NA NA https://www.sec.gov/comments/s7-17-11/s71711.shtml NA 49
OCC-2011-0014 1557–AD44 NA NA NA https://www.regulations.gov/docket?D=OCC-2011-0014 NA 3957
S7-41-11 NA NA NA NA https://www.sec.gov/comments/s7-41-11/s74111.shtml NA 527
NA NA NA NA NA https://www.regulations.gov/docket?D=OCC-2014-0003 NA 8
S7-38-11 NA NA NA NA https://www.sec.gov/comments/s7-38-11/s73811.shtml NA 43
R-1413 7100–AD72 NA NA NA https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1413&doc_ver=1 NA 58
759 3235–AK65 NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=759 NA 964
S7-12-10 NA NA NA NA https://www.sec.gov/comments/s7-12-10/s71210.shtml NA 121
S7-39-10 NA NA NA NA https://www.sec.gov/comments/s7-39-10/s73910.shtml NA 99
S7-16-11 NA NA NA NA https://www.sec.gov/comments/s7-16-11/s71611.shtml NA 56
768 3038–AC98 NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=768 NA 61
765 NA NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=765 NA 26
TREAS-DO-2011-0004 NA NA NA NA https://www.regulations.gov/docket?D=TREAS-DO-2011-0004 NA 24
1004 3038–AD48 NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1004 NA 15
868 3038–AD23 NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=868 NA 50
Financial Deriviatives Transactions To Offset Interest Rate Risk: Investment and Deposit Activities NA NA NA NA NA NA NA
1703 NA NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1703 NA 8
R–1415 7100-AD74 NA NA NA https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R-1415&doc_ver=1 NA 10
3064–AD79 3064–AD79 NA NA NA https://www.fdic.gov/regulations/laws/federal/2011/11comad79.html NA 114
2590–AA45 2590–AA45 NA NA NA NA NA NA
OCC-2011-0008 1557–AD43 NA NA NA https://www.regulations.gov/docket?D=OCC-2011-0008 NA 185
R–1415 7100-AD74 NA NA NA https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R-1415&doc_ver=3 NA 10
3064–AE21 3064–AE21 NA NA NA NA NA NA
R–1415 7100-AD74 NA NA NA https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R-1415&doc_ver=2 NA 10
OCC-2015-0023 1557-AD00 NA NA NA https://www.regulations.gov/docket?D=OCC-2015-0023 NA 8
1701 NA NA NA NA https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1701 NA 1
OCC-2011-0007 1557–AD42 NA NA NA https://www.regulations.gov/docket?D=OCC-2011-0007 NA 4
OCC-2011-0010 1557–AD42 NA NA NA NA NA NA
S7-30-11 NA NA NA NA https://www.sec.gov/comments/s7-30-11/s73011.shtml NA 20
S7-32-10 NA NA NA NA https://www.sec.gov/comments/s7-32-10/s73210.shtml NA 19
S7-35-10 NA NA NA NA https://www.sec.gov/comments/s7-35-10/s73510.shtml NA 36
S7-15-15 NA NA NA NA https://www.sec.gov/comments/s7-15-15/s71515.shtml NA 4
S7-43-10 NA NA NA NA https://www.sec.gov/comments/s7-43-10/s74310.shtml NA 21
S7-06-11 NA NA NA NA https://www.sec.gov/comments/s7-06-11/s70611.shtml NA 62
S7-34-10 NA NA NA NA https://www.sec.gov/comments/s7-34-10/s73410.shtml NA 142
S7-03-15 NA NA NA NA https://www.sec.gov/comments/s7-03-15/s70315.shtml NA 18
S7-28-10 NA NA NA NA https://www.sec.gov/comments/s7-28-10/s72810.shtml NA 3
S7-08-11 NA NA NA NA https://www.sec.gov/comments/s7-08-11/s70811.shtml NA 32
S7-44-10 NA NA NA NA https://www.sec.gov/comments/s7-44-10/s74410.shtml NA 19
S7-08-12 NA NA NA NA https://www.sec.gov/comments/s7-08-12/s70812.shtml NA 128
S7-03-14 NA NA NA NA NA NA NA
S7-23-16 NA NA NA NA NA NA NA
S7-03-11 NA NA NA NA https://www.sec.gov/comments/s7-03-11/s70311.shtml NA 7
S7-25-11 NA NA NA NA https://www.sec.gov/comments/s7-25-11/s72511.shtml NA 52
S7-40-11 NA NA NA NA https://www.sec.gov/comments/s7-40-11/s74011.shtml NA 53
S7-05-14 NA NA NA NA https://www.sec.gov/comments/s7-05-14/s70514.shtml NA 14
S7-27-10 NA NA NA NA https://www.sec.gov/comments/s7-27-10/s72710.shtml NA 96
S7-10-11 NA NA NA NA https://www.sec.gov/comments/s7-10-11/s71011.shtml NA 5
S7-22-11 NA NA NA NA https://www.sec.gov/comments/s7-22-11/s72211.shtml NA 7
S7-09-14 NA NA NA NA https://www.sec.gov/comments/s7-09-14/s70914.shtml NA 5
S7-06-15 NA NA NA NA https://www.sec.gov/comments/s7-06-15/s70615.shtml NA 16
S7-26-11 NA NA NA NA https://www.sec.gov/comments/s7-26-11/s72611.shtml NA 5
S7-22-16 NA NA NA NA NA NA NA
FSOC-2010-0003 NA NA NA NA https://www.regulations.gov/docket?D=FSOC-2010-0003 NA 14
FSOC-2011-0003 4030–AA01 NA NA NA https://www.regulations.gov/docket?D=FSOC-2011-0003 NA 15
R–1477 7100-AE09 NA NA NA https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1477&doc_ver=1 NA 7
S7-23-07 NA NA NA NA https://www.sec.gov/comments/s7-23-07/s72307.shtml NA 53
S7-33-10 NA NA NA NA https://www.sec.gov/comments/s7-33-10/s73310.shtml NA 256
S7-21-11 NA NA NA NA https://www.sec.gov/comments/s7-21-11/s72111.shtml NA 44
S7-06-13 NA NA NA NA https://www.sec.gov/comments/s7-06-13/s70613.shtml NA 605
S7-11-11 NA NA NA NA https://www.sec.gov/comments/s7-11-11/s71111.shtml NA 14
S7-18-11 NA NA NA NA https://www.sec.gov/comments/s7-18-11/s71811.shtml NA 67
S7-18-08 NA NA NA NA https://www.sec.gov/comments/s7-18-08/s71808.shtml NA 110
2590–AA36 2590–AA36 NA NA NA NA NA NA
2590–AA40 2590–AA40 NA NA NA NA NA NA
OTS-2010-0029 1557–AC44 NA NA NA https://www.regulations.gov/docket?D=OTS-2010-0029 NA 2

Dockets with more than one RIN

rin_lookup %>% 
  dplyr::select(# title, 
    docket_id,
    RIN.directory, RIN.lookup,
         related.rins, 
         lowest.sorted.rin.of.related.rins, 
         docket_url.directory, docket_url.lookup,
             comment_count) %>%
  distinct() %>% 
  filter(!is.na(related.rins)) %>% 
  add_count( docket_id) %>%
  arrange(docket_id) %>% 
  filter(n > 1) %>%   
  distinct() %>% 
  kablebox()
docket_id RIN.directory RIN.lookup related.rins lowest.sorted.rin.of.related.rins docket_url.directory docket_url.lookup comment_count n
1016 3038-AD35 3038-AC98 3038-AC98, 3038-AD35 3038-AC98 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1016 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1016 7608 2
1016 3038-AC98 3038-AC98 3038-AC98, 3038-AD35 3038-AC98 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1016 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1016 7608 2
1037 3038–AD53 3038-AD53 3038-AD53 3038-AD53 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1037 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1037 54 2
1037 3038-AD53 3038-AD53 3038-AD53 3038-AD53 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1037 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1037 54 2
1075 3038-AD51 3038-AD51 3038-AD51 3038-AD51 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1075 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1075 58 2
1075 3038–0092 3038-AD51 3038-AD51 3038-AD51 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1075 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1075 58 2
1161 NA 3038-AD75 3038-AD75 3038-AD75 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1161 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1161 68 2
1161 3038-AD75 3038-AD75 3038-AD75 3038-AD75 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1161 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=1161 68 2
2590-AA40 2590-AA40 2590-AA40 2590-AA40 2590-AA40 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Removal-of-References-to-Credit-Ratings-in-Certain-Regulations-Governing-the-Federal-Home-Loan-Banks.aspx NA 2
2590-AA40 2590-AA40 2590-AA40 2590-AA40 2590-AA40 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Removal-of-References-to-Credit-Ratings-in-Certain-Regulations-Governing-the-Federal-Home-Loan-Banks-(78-FR-67004).aspx NA 2
2590-AA42 2590-AA42 2590-AA42 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/IncentiveBased-Compensation-Arrangements.aspx NA 2
2590-AA42 2590-AA42 2590-AA42 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Incentive-based-Compensation-Arrangements.aspx NA 2
2590-AA43 2590-AA43 2590-AA43 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Credit-Risk-Retention-Proposed-Rule.aspx NA 2
2590-AA43 2590-AA43 2590-AA43 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Credit-Risk-Retention-Joint-Proposed-Rule.aspx NA 2
2590-AA45 2590-AA45 2590-AA45 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Margin-and-Capital-Requirements-for-Covered-Swap-Entities-2014.aspx NA 3
2590-AA45 2590-AA45 2590-AA45 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Margin-and-Capital-Requirements-for-Covered-Swap-Entities---Interim-Final-Rule.aspx NA 3
2590-AA45 2590-AA45 2590-AA45 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Margin-and-Capital-Requirements-for-Covered-Swap-Entities---Final-Rule.aspx NA 3
2590-AA47 2590-AA47 2590-AA47 2590-AA47 2590-AA47 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Comment-List.aspx?RuleID=335 NA 2
2590-AA47 2590-AA47 2590-AA47 2590-AA47 2590-AA47 NA https://www.fhfa.gov/SupervisionRegulation/Rules/Pages/Stress-Testing-of-Regulated-Entities1124-3604.aspx NA 2
3064-AD66 3064-AD66 3064-AD66 3064-AD66 3064-AD66 https://www.fdic.gov/regulations/laws/federal/2010/10comad66rates.html https://www.fdic.gov/regulations/laws/federal/2010/10comad66rates.html 33 4
3064-AD66 3064-AD66 3064-AD66 3064-AD66 3064-AD66 https://www.fdic.gov/regulations/laws/federal/2010/10comad66rates.html https://www.fdic.gov/regulations/laws/federal/2010/10comad66.html 33 4
3064-AD66 3064-AD66 3064-AD66 3064-AD66 3064-AD66 https://www.fdic.gov/regulations/laws/federal/2010/10comad66.html https://www.fdic.gov/regulations/laws/federal/2010/10comad66rates.html 36 4
3064-AD66 3064-AD66 3064-AD66 3064-AD66 3064-AD66 https://www.fdic.gov/regulations/laws/federal/2010/10comad66.html https://www.fdic.gov/regulations/laws/federal/2010/10comad66.html 36 4
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html 4 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html 4 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html, https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html 4 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html 28 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html 28 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html, https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html 28 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 NA https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html NA 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 NA https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html NA 9
3064-AD70 3064-AD70 3064-AD70 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 NA https://www.fdic.gov/regulations/laws/federal/2011/11comad70.html, https://www.fdic.gov/regulations/laws/federal/2011/11comad70-2.html NA 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html 1529 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html 1529 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html, https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html 1529 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html 3 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html 3 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html, https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html 3 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 NA https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html NA 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 NA https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html NA 9
3064-AD95 3064-AD95 3064-AD95 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 NA https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad95.html, https://www.fdic.gov/regulations/laws/federal/2013/2013-basel_iii_implementation.html NA 9
3064-AD97 3064-AD97 3064-AD97 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad97.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad97.html 1058 4
3064-AD97 3064-AD97 3064-AD97 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad97.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad96.html 1058 4
3064-AD97 3064-AD97 3064-AD97 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad96.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad97.html 1482 4
3064-AD97 3064-AD97 3064-AD97 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad96.html https://www.fdic.gov/regulations/laws/federal/2012-ad-95-96-97/2012-ad96.html 1482 4
3064-AE12 3064-AE12 3064-AE12 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17 1557-AD81 https://www.fdic.gov/regulations/laws/federal/2014/2014-supplementary_leverage_ratio-3064-ae12.html https://www.fdic.gov/regulations/laws/federal/2014/2014-supplementary_leverage_ratio-3064-ae12.html 13 4
3064-AE12 3064-AE12 3064-AE12 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17 1557-AD81 https://www.fdic.gov/regulations/laws/federal/2014/2014-supplementary_leverage_ratio-3064-ae12.html https://www.fdic.gov/regulations/laws/federal/2014/2014-definition_eligible_guarantee-3064-ae13.html 13 4
3064-AE12 3064-AE12 3064-AE12 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17 1557-AD81 https://www.fdic.gov/regulations/laws/federal/2014/2014-definition_eligible_guarantee-3064-ae13.html https://www.fdic.gov/regulations/laws/federal/2014/2014-supplementary_leverage_ratio-3064-ae12.html 2 4
3064-AE12 3064-AE12 3064-AE12 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17 1557-AD81 https://www.fdic.gov/regulations/laws/federal/2014/2014-definition_eligible_guarantee-3064-ae13.html https://www.fdic.gov/regulations/laws/federal/2014/2014-definition_eligible_guarantee-3064-ae13.html 2 4
3064-AE21 3064-AE21 3064-AE21 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 https://www.fdic.gov/regulations/laws/federal/2014/2014-covered_swap_entities.html https://www.fdic.gov/regulations/laws/federal/2014/2014-covered_swap_entities.html 63 4
3064-AE21 3064-AE21 3064-AE21 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 https://www.fdic.gov/regulations/laws/federal/2014/2014-covered_swap_entities.html https://www.fdic.gov/regulations/laws/federal/2015/2015-covered_swap_entities_3064-ae21.html 63 4
3064-AE21 3064-AE21 3064-AE21 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 https://www.fdic.gov/regulations/laws/federal/2015/2015-covered_swap_entities_3064-ae21.html https://www.fdic.gov/regulations/laws/federal/2014/2014-covered_swap_entities.html 11 4
3064-AE21 3064-AE21 3064-AE21 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74 1557-AD43 https://www.fdic.gov/regulations/laws/federal/2015/2015-covered_swap_entities_3064-ae21.html https://www.fdic.gov/regulations/laws/federal/2015/2015-covered_swap_entities_3064-ae21.html 11 4
3064-AE37 3064-AE37 3064-AE37 3064-AE37 3064-AE37 https://www.fdic.gov/regulations/laws/federal/2015/2015-assessments_3064-ae37.html https://www.fdic.gov/regulations/laws/federal/2015/2015-assessments_3064-ae37.html 516 4
3064-AE37 3064-AE37 3064-AE37 3064-AE37 3064-AE37 https://www.fdic.gov/regulations/laws/federal/2015/2015-assessments_3064-ae37.html https://www.fdic.gov/regulations/laws/federal/2016/2016-assessments_3064-ae37.html 516 4
3064-AE37 3064-AE37 3064-AE37 3064-AE37 3064-AE37 https://www.fdic.gov/regulations/laws/federal/2016/2016-assessments_3064-ae37.html https://www.fdic.gov/regulations/laws/federal/2015/2015-assessments_3064-ae37.html 19 4
3064-AE37 3064-AE37 3064-AE37 3064-AE37 3064-AE37 https://www.fdic.gov/regulations/laws/federal/2016/2016-assessments_3064-ae37.html https://www.fdic.gov/regulations/laws/federal/2016/2016-assessments_3064-ae37.html 19 4
893 3038-AD26 3038-AD26 3038-AD26 3038-AD26 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
893 3038-AD26 3038-AD96 3038-AD96 3038-AD96 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
893 NA 3038-AD26 3038-AD26 3038-AD26 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
893 NA 3038-AD96 3038-AD96 3038-AD96 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
893 3038-AD96 3038-AD26 3038-AD26 3038-AD26 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
893 3038-AD96 3038-AD96 3038-AD96 3038-AD96 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=893 54 6
965 3038–AD16 3038-AD17 3038-AD17 3038-AD17 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=965 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=965 14429 2
965 3038-AD17 3038-AD17 3038-AD17 3038-AD17 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=965 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=965 14429 2
968 NA 3038-AD21 3038-AD21 3038-AD21 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
968 NA 3038-AD62 3038-AD62 3038-AD62 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
968 3038-AD21 3038-AD21 3038-AD21 3038-AD21 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
968 3038-AD21 3038-AD62 3038-AD62 3038-AD62 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
968 3038-AD62 3038-AD21 3038-AD21 3038-AD21 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
968 3038-AD62 3038-AD62 3038-AD62 3038-AD62 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=968 74 6
985 3038-AD50 3038-AD50 3038-AD50 3038-AD50 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 35 4
985 3038-AD50 3038-AC96 3038-AC96 3038-AC96 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 35 4
985 3038-AC96 3038-AD50 3038-AD50 3038-AD50 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 35 4
985 3038-AC96 3038-AC96 3038-AC96 3038-AC96 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 https://comments.cftc.gov/PublicComments/CommentList.aspx?id=985 35 4
CFPB-2016-0036 3170-AA68 3170-AA68 1557-AD62, 1557-AD70, 1557-AD90, 1557-AD99, 3170-AA11, 3170-AA68, 7100 AE56, 7100-AD90 1557-AD62 https://www.regulations.gov/docket?D=CFPB-2016-0036 https://www.regulations.gov/docket?D=CFPB-2016-0036 1 2
CFPB-2016-0036 NA 3170-AA68 1557-AD62, 1557-AD70, 1557-AD90, 1557-AD99, 3170-AA11, 3170-AA68, 7100 AE56, 7100-AD90 1557-AD62 https://www.regulations.gov/docket?D=CFPB-2016-0036 https://www.regulations.gov/docket?D=CFPB-2016-0036 1 2
Incentive-based Compensation Arrangements 3133-AD88 3133-AD88 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 NA https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2011/compensation.aspx NA 4
Incentive-based Compensation Arrangements 3133-AD88 3133-AE48 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 NA https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2016/incentive-based-compensation-arrangements.aspx NA 4
Incentive-based Compensation Arrangements 3133-AE48 3133-AD88 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2016/incentive-based-compensation-arrangements.aspx https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2011/compensation.aspx 195 4
Incentive-based Compensation Arrangements 3133-AE48 3133-AE48 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50 1550-AC49 https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2016/incentive-based-compensation-arrangements.aspx https://www.ncua.gov/regulation-supervision/Pages/rules/comment-letters/2016/incentive-based-compensation-arrangements.aspx 195 4
OCC-2010-0003 1557-AC99 1557-AC99 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.regulations.gov/docket?D=OCC-2010-0003 https://www.regulations.gov/docket?D=OCC-2010-0003 47 2
OCC-2010-0003 1557–AC99 1557-AC99 1557-AC99, 3064-AD70, 7100-AD61 1557-AC99 https://www.regulations.gov/docket?D=OCC-2010-0003 https://www.regulations.gov/docket?D=OCC-2010-0003 47 2
R-1404 7100-AD63 7100-AD63 7100-AD63 7100-AD63 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=1 1559 4
R-1404 7100-AD63 7100-AD63 7100-AD63 7100-AD63 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=2 1559 4
R-1404 7100-AD63 7100-AD63 7100-AD63 7100-AD63 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=1 42 4
R-1404 7100-AD63 7100-AD63 7100-AD63 7100-AD63 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1404&doc_ver=2 42 4
R-1409 7100–AD68 7100-AD68 7100-AD68 7100-AD68 NA https://web.archive.org/web/20150907192810/http://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1409&doc_ver=2 NA 2
R-1409 7100-AD68 7100-AD68 7100-AD68 7100-AD68 NA https://web.archive.org/web/20150907192810/http://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1409&doc_ver=2 NA 2
R-1411 7100-AD70 7100-AD70 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=1 404 4
R-1411 7100-AD70 7100-AD70 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=2 404 4
R-1411 7100-AD70 7100-AD70 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=1 197 4
R-1411 7100-AD70 7100-AD70 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70 1557-AD40 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1411&doc_ver=2 197 4
R-1438 7100-AD86 7100-AD86 7100-AD86 7100-AD86 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=1 104 4
R-1438 7100-AD86 7100-AD86 7100-AD86 7100-AD86 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=2 104 4
R-1438 7100-AD86 7100-AD86 7100-AD86 7100-AD86 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=1 63 4
R-1438 7100-AD86 7100-AD86 7100-AD86 7100-AD86 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=2 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1438&doc_ver=2 63 4
R-1442 7100-AD87 7100-AD87 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1442&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1442&doc_ver=1 1281 4
R-1442 7100-AD87 7100-AD87 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1442&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R%E2%80%931442&doc_ver=1 1281 4
R-1442 7100-AD87 7100-AD87 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87 1557-AD46 https://www.federalreserve.gov/apps/foia/ViewComments.aspx?doc_id=R%E2%80%931442&doc_ver=1 https://www.federalreserve.gov/apps/foia/ViewAllComments.aspx?doc_id=R-1442&doc_ver=1 10 4
rin_lookup %<>% 
  dplyr::select(-RIN.directory,
         -docket_url.directory) %>% distinct()

names(rin_lookup) %<>% str_remove(".lookup")

Asset data

Summary table data here:

# clean match data from finreg_commenter_covariates
docket_table <- read_csv(here::here("data", "matches_per_docket.csv"))


docket_table %>% 
  add_count(Agency) %>% 
  mutate(Agency = paste(n, "dockets from", Agency)) %>% 
  dplyr::select(- Percent, - Docket, -`Any Resources Measure`) %>% 
  group_by(Agency) %>% 
  summarise_all(sum) %>% 
  group_by(Agency) %>% 
  pivot_longer(cols = c("Comments", contains(" ") ))  %>% 
  mutate(Matched = ifelse(name == "Comments", "Total","Matched"),
         name = ifelse(name == "Comments", "Total", name)) %>% 
  ggplot() + 
  aes(fill = name,
      y = Matched, 
      x = value) + 
    geom_col(position = "stack", alpha = .7) + 
  labs(x = "Comments", y = "", fill = "Resource\nData Type",
       title = "Comments Matched to Organizational Resources Data") + 
  facet_wrap("Agency", ncol = 1, scales = "free") + 
  theme(legend.position = "bottom",
        panel.grid.major.y = element_blank(),
        strip.text = element_text(size = 12)) 

Dockets with most comments matched

docket_table %<>% 
  arrange(-`Any Resources Measure`) 

# max
docket_table %>% 
  # filter(`Any Resources Measure` < 1) %>% 
  knitr::kable() %>% 
  kable_paper(full_width = F) %>%
  column_spec(5, color = "white",
              background = spec_color(docket_table$Comments/ docket_table$`Any Resources Measure`, begin = .1, end = .9, direction = 1, option = 3) ) %>% 
  scroll_box(height = "400px")
Agency Docket Comments Any Resources Measure Percent FDIC Assets Market Cap (CIK) Market Cap (Compustat) 501c3 Assets 501c3 Revenue Campaign Donations
CFPB CFPB-2016-0025 29638 3898 13% 92 4 0 3806 3806 156
FRS R-1442 1158 835 72% 719 28 0 116 116 8
CFPB CFPB-2012-0028 2456 617 25% 241 25 0 376 376 28
FRS R-1404 1023 411 40% 200 20 0 211 211 14
SEC S7-45-10 769 272 35% 41 6 0 231 231 43
CFTC CFTC-2011-0013 3549 265 7% 7 110 0 258 258 38
CFPB CFPB-2013-0002 865 264 31% 156 11 0 108 108 8
CFPB CFPB-2014-0019 362 206 57% 118 3 0 88 88 7
CFPB CFPB-2019-0021 278 198 71% 167 1 0 31 31 0
FRS R-1411 494 197 40% 9 9 0 188 188 20
SEC S7-14-11 410 130 32% 4 5 0 126 126 23
CFPB CFPB-2011-0008 915 127 14% 26 2 0 101 101 7
CFPB CFPB-2012-0037 647 126 19% 42 19 0 84 84 6
CFTC CFTC-2013-0107 511 114 22% 5 11 0 109 109 16
FRS R-1432 373 103 28% 6 12 0 97 97 21
CFPB CFPB-2012-0029 241 101 42% 55 0 0 46 46 10
CFPB CFPB-2019-0022 812 99 12% 3 1 0 96 96 0
FRS R-1417_V1 279 98 35% 24 3 0 74 74 5
CFPB CFPB-2012-0033 165 85 52% 33 2 0 52 52 5
CFPB CFPB-2013-0018 278 81 29% 10 3 0 71 71 8
CFPB CFPB-2015-0029 343 80 23% 25 1 0 55 55 2
CFTC CFTC-2012-0058 356 79 22% 18 14 0 61 61 13
SEC S7-40-10 269 79 29% 6 7 0 73 73 7
CFPB CFPB-2016-0020 682 78 11% 1 5 0 77 77 15
CFPB CFPB-2012-0034 144 71 49% 19 2 0 52 52 4
CFPB CFPB-2014-0033 154 70 45% 8 2 0 62 62 7
CFTC CFTC-2010-0196 452 69 15% 4 6 0 65 65 46
CFPB CFPB-2013-0033 183 67 37% 2 3 0 65 65 8
CFTC CFTC-2011-0049 285 63 22% 5 7 0 58 58 12
CFPB CFPB-2016-0038 267 56 21% 11 1 0 45 45 2
FRS R-1394_V1 373 55 15% 4 1 0 51 51 0
SEC S7-41-11 303 54 18% 2 6 0 52 52 35
SEC S7-08-10 217 50 23% 4 5 0 46 46 13
CFPB CFPB-2011-0009 113 48 42% 18 2 0 30 30 6
CFPB CFPB-2011-0002 113 47 42% 0 3 0 47 47 6
CFPB CFPB-2014-0010 86 47 55% 20 2 0 27 27 4
CFPB CFPB-2013-0013 88 45 51% 9 0 0 36 36 3
FRS R-1438 150 45 30% 2 11 0 43 43 11
CFPB CFPB-2012-0022 161 44 27% 9 1 0 35 35 3
CFPB CFPB-2012-0050 112 44 39% 11 4 0 33 33 3
CFPB CFPB-2012-0032 67 43 64% 14 1 0 29 29 3
CFPB CFPB-2015-0004 65 42 65% 21 0 0 21 21 1
CFPB CFPB-2012-0031 83 41 49% 22 0 0 19 19 3
CFPB CFPB-2014-0009 62 41 66% 2 1 0 39 39 0
SEC S7-08-12 195 41 21% 0 1 0 41 41 6
SEC S7-03-13 179 39 22% 10 2 0 29 29 20
SEC S7-07-13 221 38 17% 3 10 0 35 35 15
CFTC CFTC-2010-0140 184 36 20% 3 1 0 33 33 8
CFTC CFTC-2011-0066 127 33 26% 0 2 0 33 33 5
CFTC CFTC-2012-0019 367 33 9% 3 7 0 30 30 13
FRS R-1413 48 33 69% 28 1 0 5 5 0
CFTC CFTC-2010-0115 905 32 4% 5 1 0 27 27 6
NCUA Incentive-based Compensation Arrangements 67 32 48% 0 0 0 32 32 4
SEC S7-06-13 344 32 9% 0 1 0 32 32 5
SEC S7-39-10 87 32 37% 2 4 0 30 30 5
SEC S7-42-10 137 32 23% 1 4 0 31 31 6
SEC S7-33-10 101 31 31% 0 2 0 31 31 2
CFPB CFPB-2013-0010 60 30 50% 5 1 0 25 25 3
CFTC CFTC-2010-0138 165 30 18% 5 0 0 25 25 6
FRS R-1443_V1 42 30 71% 18 0 0 12 12 1
CFTC CFTC-2010-0178 128 26 20% 0 5 0 26 26 7
CFTC CFTC-2013-0098 63 26 41% 0 0 0 26 26 3
FRS R-1536 64 25 39% 0 4 0 25 25 3
SEC S7-12-11 102 25 25% 1 1 0 24 24 20
SEC S7-34-10 125 25 20% 0 1 0 25 25 7
CFTC CFTC-2010-0179 110 24 22% 0 2 0 24 24 6
CFTC CFTC-2010-0193 94 23 24% 0 2 0 23 23 1
CFTC CFTC-2012-0138 117 23 20% 2 1 0 21 21 3
FRS R-1419 59 23 39% 11 3 0 12 12 2
CFPB CFPB-2012-0005 73 21 29% 0 1 0 21 21 9
CFTC CFTC-2011-0070 49 21 43% 0 0 0 21 21 0
CFTC CFTC-2012-0037 116 21 18% 0 2 0 21 21 8
SEC S7-16-11 41 21 51% 0 1 0 21 21 2
CFTC CFTC-2011-0020 88 20 23% 0 0 0 20 20 4
CFTC CFTC-2011-0018 66 19 29% 0 1 0 19 19 3
CFTC CFTC-2011-0058 60 19 32% 1 0 0 18 18 1
CFTC CFTC-2010-0153 122 18 15% 3 1 0 15 15 1
CFTC CFTC-2012-0088 28 18 64% 1 0 0 17 17 0
FRS R-1407_V1 30 18 60% 3 0 0 15 15 2
CFPB CFPB-2017-0018 36 17 47% 2 0 0 15 15 0
CFPB CFPB-2017-0021 28 17 61% 5 0 0 12 12 0
CFTC CFTC-2010-0109 133 17 13% 1 7 0 16 16 4
FRS R-1410 74 17 23% 3 2 0 14 14 13
CFPB CFPB-2013-0031 38 16 42% 2 0 0 14 14 0
CFTC CFTC-2011-0003 186 16 9% 0 7 0 16 16 9
CFTC CFTC-2010-0154 38 15 39% 0 0 0 15 15 2
SEC S7-26-10 45 15 33% 0 0 0 15 15 4
CFPB CFPB-2013-0020 31 14 45% 1 1 0 13 13 1
CFPB CFPB-2014-0008 35 14 40% 4 4 0 10 10 3
CFTC CFTC-2010-0158 59 14 24% 1 1 0 13 13 4
CFTC CFTC-2011-0005 80 14 18% 2 1 0 12 12 2
CFTC CFTC-2011-0016 41 14 34% 0 1 0 14 14 2
CFTC CFTC-2012-0102 38 14 37% 1 2 0 13 13 0
SEC S7-24-10 38 14 37% 0 0 0 14 14 4
SEC S7-25-11 47 14 30% 0 0 0 14 14 0
SEC S7-27-10 75 14 19% 0 0 0 14 14 3
SEC S7-40-11 45 14 31% 0 0 0 14 14 4
CFPB CFPB-2013-0029 20 13 65% 4 1 0 9 9 2
CFTC CFTC-2016-0109 69 13 19% 0 3 0 13 13 2
FRS R-1550 50 13 26% 0 1 0 13 13 5
NCUA 3133-AE22 31 13 42% 0 0 0 13 13 1
SEC S7-08-13 31 13 42% 2 1 0 11 11 2
SEC S7-12-15 46 13 28% 1 3 0 12 12 3
SEC S7-23-07 37 13 35% 0 0 0 13 13 1
SEC S7-36-10 57 13 23% 0 0 0 13 13 5
CFTC CFTC-2010-0194 61 12 20% 1 2 0 11 11 3
FRS R-1486_V1 39 12 31% 2 0 0 10 10 1
CFPB CFPB-2012-0021 32 11 34% 0 1 0 11 11 4
FRS R-1392_V1 14 11 79% 4 0 0 7 7 0
FRS R-1460_V1 23 11 48% 1 1 0 10 10 2
FRS R-1534 27 11 41% 1 3 0 10 10 2
FRS R-1538 26 11 42% 0 0 0 11 11 3
CFPB CFPB-2012-0010 25 10 40% 2 2 0 8 8 1
CFPB CFPB-2013-0005 54 10 19% 0 0 0 10 10 2
CFPB CFPB-2013-0009 17 10 59% 5 0 0 5 5 1
CFPB CFPB-2014-0028 27 10 37% 3 1 0 7 7 2
FRS R-1537 29 10 34% 0 2 0 10 10 4
SEC S7-06-11 45 10 22% 0 4 0 10 10 1
SEC S7-07-15 55 10 18% 1 9 0 9 9 1
SEC S7-12-10 97 10 10% 0 2 0 10 10 7
SEC S7-31-10 48 10 21% 0 2 0 10 10 1
SEC S7-43-10 17 10 59% 0 0 0 10 10 2
CFPB CFPB-2011-0031 21 9 43% 1 0 0 8 8 2
CFTC CFTC-2010-0155 30 9 30% 0 0 0 9 9 3
CFTC CFTC-2010-0177 29 9 31% 0 0 0 9 9 4
CFTC CFTC-2010-0186 32 9 28% 0 3 0 9 9 1
CFTC CFTC-2010-0195 35 9 26% 0 0 0 9 9 5
FRS R-1401_V2 29 9 31% 1 1 0 8 8 4
FRS R-1505 19 9 47% 1 1 0 8 8 2
SEC S7-02-13 29 9 31% 0 0 0 9 9 2
SEC S7-37-10 87 9 10% 0 1 0 9 9 5
SEC S7-41-10 22 9 41% 0 0 0 9 9 0
CFPB CFPB-2014-0006 37 8 22% 0 0 0 8 8 1
CFPB CFPB-2014-0024 20 8 40% 1 0 0 7 7 2
CFTC CFTC-2010-0143 18 8 44% 0 0 0 8 8 1
FRS R-1405 17 8 47% 0 0 0 8 8 3
FRS R–1415 15 8 53% 2 1 0 6 6 0
SEC S7-18-08 82 8 10% 0 14 0 8 8 11
SEC S7-18-11 41 8 20% 0 1 0 8 8 3
CFPB CFPB-2016-0016 17 7 41% 1 0 0 6 6 1
CFTC CFTC-2010-0157 31 7 23% 0 0 0 7 7 0
CFTC CFTC-2010-0162 21 7 33% 0 0 0 7 7 0
CFTC CFTC-2010-0175 29 7 24% 0 1 0 7 7 1
CFTC CFTC-2011-0002 78 7 9% 3 1 0 4 4 7
CFTC CFTC-2011-0071 41 7 17% 0 2 0 7 7 3
CFTC CFTC-2016-0090 26 7 27% 0 1 0 7 7 0
FRS R-1399_V1 12 7 58% 1 0 0 6 6 0
FRS R-1414 18 7 39% 0 0 0 7 7 1
FRS R-1457 18 7 39% 0 0 0 7 7 1
FRS R-1480 12 7 58% 2 0 0 5 5 0
FRS R-1539 25 7 28% 0 3 0 7 7 2
NCUA Share Insurance and Appendix 18 7 39% 0 0 0 7 7 1
SEC S7-07-11 36 7 19% 0 0 0 7 7 3
SEC S7-25-10 31 7 23% 1 0 0 6 6 1
SEC S7-32-10 14 7 50% 0 0 0 7 7 0
SEC S7-38-11 32 7 22% 0 1 0 7 7 3
CFPB CFPB-2011-0004 9 6 67% 0 0 0 6 6 0
CFPB CFPB-2011-0023 8 6 75% 0 0 0 6 6 0
CFPB CFPB-2014-0003 12 6 50% 0 0 0 6 6 2
CFTC CFTC-2010-0165 46 6 13% 0 0 0 6 6 1
CFTC CFTC-2010-0167 27 6 22% 1 0 0 5 5 0
CFTC CFTC-2010-0187 16 6 38% 0 0 0 6 6 1
CFTC CFTC-2011-0105 47 6 13% 0 1 0 6 6 1
CFTC CFTC-2012-0023 38 6 16% 1 0 0 5 5 4
CFTC CFTC-2015-0053 17 6 35% 0 0 0 6 6 1
CFTC CFTC-2016-0107 41 6 15% 1 0 0 5 5 2
CFTC CFTC-2017-0027 9 6 67% 2 0 0 4 4 0
FRS R-1443_V2 11 6 55% 1 0 0 5 5 0
SEC S7-05-11 34 6 18% 1 0 0 5 5 5
SEC S7-09-15 37 6 16% 1 1 0 5 5 2
SEC S7-21-11 21 6 29% 0 0 0 6 6 0
SEC S7-35-10 31 6 19% 0 0 0 6 6 4
CFPB CFPB-2011-0003 9 5 56% 0 0 0 5 5 1
CFPB CFPB-2011-0022 5 5 100% 0 0 0 5 5 0
CFPB CFPB-2011-0029 10 5 50% 0 0 0 5 5 0
CFPB CFPB-2016-0039 26 5 19% 0 1 0 5 5 0
CFTC CFTC-2010-0174 30 5 17% 0 1 0 5 5 2
CFTC CFTC-2010-0200 33 5 15% 0 0 0 5 5 2
CFTC CFTC-2011-0017 11 5 45% 0 1 0 5 5 0
CFTC CFTC-2014-0044 12 5 42% 0 0 0 5 5 0
FRS R-1540 14 5 36% 0 2 0 5 5 2
FRS R–1405 7 5 71% 1 0 0 4 4 0
SEC S7-04-11 22 5 23% 0 0 0 5 5 0
SEC S7-08-11 26 5 19% 0 1 0 5 5 3
SEC S7-13-11 38 5 13% 0 2 0 5 5 4
SEC S7-17-11 18 5 28% 0 0 0 5 5 0
SEC S7-44-10 15 5 33% 0 0 0 5 5 3
CFPB CFPB-2011-0019 9 4 44% 0 0 0 4 4 2
CFPB CFPB-2011-0020 5 4 80% 1 0 0 3 3 0
CFPB CFPB-2011-0021 11 4 36% 1 0 0 3 3 1
CFPB CFPB-2011-0024 6 4 67% 0 0 0 4 4 0
CFPB CFPB-2011-0026 5 4 80% 0 0 0 4 4 0
CFPB CFPB-2011-0027 5 4 80% 1 0 0 3 3 1
CFPB CFPB-2011-0028 6 4 67% 0 0 0 4 4 0
CFTC CFTC-2010-0132 21 4 19% 1 0 0 3 3 0
CFTC CFTC-2010-0137 15 4 27% 1 0 0 3 3 1
CFTC CFTC-2010-0156 9 4 44% 0 0 0 4 4 0
CFTC CFTC-2010-0161 63 4 6% 0 0 0 4 4 0
CFTC CFTC-2010-0166 38 4 11% 0 0 0 4 4 1
CFTC CFTC-2010-0183 13 4 31% 0 0 0 4 4 0
CFTC CFTC-2011-0019 21 4 19% 0 0 0 4 4 2
CFTC CFTC-2012-0110 10 4 40% 0 0 0 4 4 0
CFTC CFTC-2017-0002 17 4 24% 1 0 0 3 3 0
FRS R-1492 17 4 24% 1 5 0 3 3 1
SEC S7-01-15 16 4 25% 0 0 0 4 4 0
SEC S7-06-15 9 4 44% 0 0 0 4 4 0
SEC S7-15-11 9 4 44% 0 0 0 4 4 0
CFPB CFPB-2011-0007 5 3 60% 0 0 0 3 3 0
CFPB CFPB-2011-0030 6 3 50% 0 0 0 3 3 1
CFPB CFPB-2020-0010 9 3 33% 1 0 0 2 2 0
CFTC CFTC-2010-0160 18 3 17% 0 0 0 3 3 0
CFTC CFTC-2010-0189 9 3 33% 0 0 0 3 3 0
CFTC CFTC-2011-0029 38 3 8% 0 0 0 3 3 1
CFTC CFTC-2011-0047 12 3 25% 0 0 0 3 3 0
CFTC CFTC-2011-0104 26 3 12% 0 0 0 3 3 1
CFTC CFTC-2011-0148 33 3 9% 0 0 0 3 3 0
CFTC CFTC-2012-0097 12 3 25% 0 0 0 3 3 0
CFTC CFTC-2016-0024 16 3 19% 0 0 0 3 3 0
CFTC CFTC-2016-0052 10 3 30% 0 0 0 3 3 0
FRS R-1391 18 3 17% 0 2 0 3 3 2
FRS R-1397 11 3 27% 0 2 0 3 3 1
FRS R-1412 9 3 33% 0 0 0 3 3 0
FRS R-1415 7 3 43% 0 1 0 3 3 0
FRS R-1426 4 3 75% 0 0 0 3 3 0
FRS R-1438_V1 3 3 100% 2 0 0 1 1 0
FRS R-1458 3 3 100% 0 0 0 3 3 0
FRS R-1476_V1 7 3 43% 0 0 0 3 3 1
FRS R-1482_V1 3 3 100% 2 0 0 1 1 0
FRS R-1487 9 3 33% 1 1 0 2 2 1
FRS R-1548 12 3 25% 1 2 0 2 2 1
SEC S7-02-12 9 3 33% 0 0 0 3 3 1
SEC S7-03-11 6 3 50% 0 0 0 3 3 0
SEC S7-03-15 13 3 23% 0 0 0 3 3 1
SEC S7-10-11 4 3 75% 0 0 0 3 3 0
SEC S7-23-11 16 3 19% 0 0 0 3 3 1
SEC S7-30-10 16 3 19% 0 0 0 3 3 1
CFPB CFPB-2011-0005 6 2 33% 0 0 0 2 2 1
CFPB CFPB-2011-0006 4 2 50% 0 0 0 2 2 0
CFTC CFTC-2011-0026 16 2 12% 0 0 0 2 2 0
CFTC CFTC-2011-0033 7 2 29% 0 0 0 2 2 0
CFTC CFTC-2012-0032 8 2 25% 0 0 0 2 2 0
CFTC CFTC-2012-0101 29 2 7% 0 0 0 2 2 4
CFTC CFTC-2015-0057 4 2 50% 0 0 0 2 2 1
CFTC CFTC-2016-0070 7 2 29% 0 0 0 2 2 1
CFTC CFTC-2016-0073 6 2 33% 0 0 0 2 2 0
FRS R-1400_V1 2 2 100% 0 0 0 2 2 0
FRS R-1455 5 2 40% 0 0 0 2 2 1
FRS R-1489 7 2 29% 0 0 0 2 2 3
SEC S7-05-14 12 2 17% 0 0 0 2 2 0
SEC S7-14-15 3 2 67% 0 0 0 2 2 0
SEC S7-19-10 5 2 40% 0 0 0 2 2 0
CFPB CFPB-2011-0025 3 1 33% 0 0 0 1 1 0
CFPB CFPB-2011-0032 4 1 25% 0 0 0 1 1 0
CFPB CFPB-2013-0001 1 1 100% 0 0 0 1 1 0
CFPB CFPB-2016-0037 2 1 50% 0 0 0 1 1 0
CFTC CFTC-2011-0028 3 1 33% 0 0 0 1 1 0
CFTC CFTC-2013-0071 11 1 9% 1 0 0 0 0 0
CFTC CFTC-2014-0025 5 1 20% 0 0 0 1 1 0
CFTC CFTC-2017-0003 1 1 100% 0 0 0 1 1 0
FRS R-1401 7 1 14% 0 1 0 1 1 2
FRS R-1428 3 1 33% 1 0 0 0 0 0
FRS R-1430 1 1 100% 0 0 0 1 1 0
FRS R-1488 2 1 50% 0 0 0 1 1 0
FRS R-1529 3 1 33% 0 0 0 1 1 0
FRS R-1535 1 1 100% 0 0 0 1 1 0
FRS R–1477 7 1 14% 0 0 0 1 1 2
NCUA NA 1 1 100% 0 0 0 1 1 0
SEC S7-02-11 4 1 25% 0 0 0 1 1 1
SEC S7-09-14 2 1 50% 0 0 0 1 1 0
SEC S7-11-11 10 1 10% 0 0 0 1 1 0
SEC S7-22-11 4 1 25% 0 0 0 1 1 1
CFPB CFPB-2013-0012 5 0 0% 0 0 0 0 0 0
CFPB CFPB-2013-0030 1 0 0% 0 0 0 0 0 0
CFPB CFPB-2016-0035 1 0 0% 0 0 0 0 0 0
CFTC CFTC-2010-0148 3 0 0% 0 0 0 0 0 0
CFTC CFTC-2010-0152 3 0 0% 0 0 0 0 0 0
CFTC CFTC-2012-0069 1 0 0% 0 0 0 0 0 0
CFTC CFTC-2012-0079 5 0 0% 0 0 0 0 0 0
CFTC CFTC-2013-0032 2 0 0% 0 0 0 0 0 0
CFTC CFTC-2016-0064 5 0 0% 0 0 0 0 0 0
CFTC CFTC-2016-0068 2 0 0% 0 0 0 0 0 0
CFTC CFTC-2017-0005 19 0 0% 0 3 0 0 0 0
SEC S7-15-15 2 0 0% 0 0 0 0 0 1
SEC S7-26-11 4 0 0% 0 0 0 0 0 0
SEC S7-28-10 2 0 0% 0 0 0 0 0 0
SEC S7-30-11 9 0 0% 0 0 0 0 0 0
SEC S7-35-11 22 0 0% 0 1 0 0 0 1

Dockets with the fewest commments matched

docket_table %<>% 
  arrange(`Any Resources Measure`) 

# min
docket_table %>% 
  # filter(`Any Resources Measure` < 1) %>% 
  knitr::kable() %>% 
  kable_paper(full_width = F) %>%
  column_spec(5, color = "white",
              background = spec_color(docket_table$Comments/ docket_table$`Any Resources Measure`, begin = .1, end = .9, direction = 1, option = 3) ) %>% 
  scroll_box(height = "400px")
Agency Docket Comments Any Resources Measure Percent FDIC Assets Market Cap (CIK) Market Cap (Compustat) 501c3 Assets 501c3 Revenue Campaign Donations
CFPB CFPB-2013-0012 5 0 0% 0 0 0 0 0 0
CFPB CFPB-2013-0030 1 0 0% 0 0 0 0 0 0
CFPB CFPB-2016-0035 1 0 0% 0 0 0 0 0 0
CFTC CFTC-2010-0148 3 0 0% 0 0 0 0 0 0
CFTC CFTC-2010-0152 3 0 0% 0 0 0 0 0 0
CFTC CFTC-2012-0069 1 0 0% 0 0 0 0 0 0
CFTC CFTC-2012-0079 5 0 0% 0 0 0 0 0 0
CFTC CFTC-2013-0032 2 0 0% 0 0 0 0 0 0
CFTC CFTC-2016-0064 5 0 0% 0 0 0 0 0 0
CFTC CFTC-2016-0068 2 0 0% 0 0 0 0 0 0
CFTC CFTC-2017-0005 19 0 0% 0 3 0 0 0 0
SEC S7-15-15 2 0 0% 0 0 0 0 0 1
SEC S7-26-11 4 0 0% 0 0 0 0 0 0
SEC S7-28-10 2 0 0% 0 0 0 0 0 0
SEC S7-30-11 9 0 0% 0 0 0 0 0 0
SEC S7-35-11 22 0 0% 0 1 0 0 0 1
CFPB CFPB-2011-0025 3 1 33% 0 0 0 1 1 0
CFPB CFPB-2011-0032 4 1 25% 0 0 0 1 1 0
CFPB CFPB-2013-0001 1 1 100% 0 0 0 1 1 0
CFPB CFPB-2016-0037 2 1 50% 0 0 0 1 1 0
CFTC CFTC-2011-0028 3 1 33% 0 0 0 1 1 0
CFTC CFTC-2013-0071 11 1 9% 1 0 0 0 0 0
CFTC CFTC-2014-0025 5 1 20% 0 0 0 1 1 0
CFTC CFTC-2017-0003 1 1 100% 0 0 0 1 1 0
FRS R-1401 7 1 14% 0 1 0 1 1 2
FRS R-1428 3 1 33% 1 0 0 0 0 0
FRS R-1430 1 1 100% 0 0 0 1 1 0
FRS R-1488 2 1 50% 0 0 0 1 1 0
FRS R-1529 3 1 33% 0 0 0 1 1 0
FRS R-1535 1 1 100% 0 0 0 1 1 0
FRS R–1477 7 1 14% 0 0 0 1 1 2
NCUA NA 1 1 100% 0 0 0 1 1 0
SEC S7-02-11 4 1 25% 0 0 0 1 1 1
SEC S7-09-14 2 1 50% 0 0 0 1 1 0
SEC S7-11-11 10 1 10% 0 0 0 1 1 0
SEC S7-22-11 4 1 25% 0 0 0 1 1 1
CFPB CFPB-2011-0005 6 2 33% 0 0 0 2 2 1
CFPB CFPB-2011-0006 4 2 50% 0 0 0 2 2 0
CFTC CFTC-2011-0026 16 2 12% 0 0 0 2 2 0
CFTC CFTC-2011-0033 7 2 29% 0 0 0 2 2 0
CFTC CFTC-2012-0032 8 2 25% 0 0 0 2 2 0
CFTC CFTC-2012-0101 29 2 7% 0 0 0 2 2 4
CFTC CFTC-2015-0057 4 2 50% 0 0 0 2 2 1
CFTC CFTC-2016-0070 7 2 29% 0 0 0 2 2 1
CFTC CFTC-2016-0073 6 2 33% 0 0 0 2 2 0
FRS R-1400_V1 2 2 100% 0 0 0 2 2 0
FRS R-1455 5 2 40% 0 0 0 2 2 1
FRS R-1489 7 2 29% 0 0 0 2 2 3
SEC S7-05-14 12 2 17% 0 0 0 2 2 0
SEC S7-14-15 3 2 67% 0 0 0 2 2 0
SEC S7-19-10 5 2 40% 0 0 0 2 2 0
CFPB CFPB-2011-0007 5 3 60% 0 0 0 3 3 0
CFPB CFPB-2011-0030 6 3 50% 0 0 0 3 3 1
CFPB CFPB-2020-0010 9 3 33% 1 0 0 2 2 0
CFTC CFTC-2010-0160 18 3 17% 0 0 0 3 3 0
CFTC CFTC-2010-0189 9 3 33% 0 0 0 3 3 0
CFTC CFTC-2011-0029 38 3 8% 0 0 0 3 3 1
CFTC CFTC-2011-0047 12 3 25% 0 0 0 3 3 0
CFTC CFTC-2011-0104 26 3 12% 0 0 0 3 3 1
CFTC CFTC-2011-0148 33 3 9% 0 0 0 3 3 0
CFTC CFTC-2012-0097 12 3 25% 0 0 0 3 3 0
CFTC CFTC-2016-0024 16 3 19% 0 0 0 3 3 0
CFTC CFTC-2016-0052 10 3 30% 0 0 0 3 3 0
FRS R-1391 18 3 17% 0 2 0 3 3 2
FRS R-1397 11 3 27% 0 2 0 3 3 1
FRS R-1412 9 3 33% 0 0 0 3 3 0
FRS R-1415 7 3 43% 0 1 0 3 3 0
FRS R-1426 4 3 75% 0 0 0 3 3 0
FRS R-1438_V1 3 3 100% 2 0 0 1 1 0
FRS R-1458 3 3 100% 0 0 0 3 3 0
FRS R-1476_V1 7 3 43% 0 0 0 3 3 1
FRS R-1482_V1 3 3 100% 2 0 0 1 1 0
FRS R-1487 9 3 33% 1 1 0 2 2 1
FRS R-1548 12 3 25% 1 2 0 2 2 1
SEC S7-02-12 9 3 33% 0 0 0 3 3 1
SEC S7-03-11 6 3 50% 0 0 0 3 3 0
SEC S7-03-15 13 3 23% 0 0 0 3 3 1
SEC S7-10-11 4 3 75% 0 0 0 3 3 0
SEC S7-23-11 16 3 19% 0 0 0 3 3 1
SEC S7-30-10 16 3 19% 0 0 0 3 3 1
CFPB CFPB-2011-0019 9 4 44% 0 0 0 4 4 2
CFPB CFPB-2011-0020 5 4 80% 1 0 0 3 3 0
CFPB CFPB-2011-0021 11 4 36% 1 0 0 3 3 1
CFPB CFPB-2011-0024 6 4 67% 0 0 0 4 4 0
CFPB CFPB-2011-0026 5 4 80% 0 0 0 4 4 0
CFPB CFPB-2011-0027 5 4 80% 1 0 0 3 3 1
CFPB CFPB-2011-0028 6 4 67% 0 0 0 4 4 0
CFTC CFTC-2010-0132 21 4 19% 1 0 0 3 3 0
CFTC CFTC-2010-0137 15 4 27% 1 0 0 3 3 1
CFTC CFTC-2010-0156 9 4 44% 0 0 0 4 4 0
CFTC CFTC-2010-0161 63 4 6% 0 0 0 4 4 0
CFTC CFTC-2010-0166 38 4 11% 0 0 0 4 4 1
CFTC CFTC-2010-0183 13 4 31% 0 0 0 4 4 0
CFTC CFTC-2011-0019 21 4 19% 0 0 0 4 4 2
CFTC CFTC-2012-0110 10 4 40% 0 0 0 4 4 0
CFTC CFTC-2017-0002 17 4 24% 1 0 0 3 3 0
FRS R-1492 17 4 24% 1 5 0 3 3 1
SEC S7-01-15 16 4 25% 0 0 0 4 4 0
SEC S7-06-15 9 4 44% 0 0 0 4 4 0
SEC S7-15-11 9 4 44% 0 0 0 4 4 0
CFPB CFPB-2011-0003 9 5 56% 0 0 0 5 5 1
CFPB CFPB-2011-0022 5 5 100% 0 0 0 5 5 0
CFPB CFPB-2011-0029 10 5 50% 0 0 0 5 5 0
CFPB CFPB-2016-0039 26 5 19% 0 1 0 5 5 0
CFTC CFTC-2010-0174 30 5 17% 0 1 0 5 5 2
CFTC CFTC-2010-0200 33 5 15% 0 0 0 5 5 2
CFTC CFTC-2011-0017 11 5 45% 0 1 0 5 5 0
CFTC CFTC-2014-0044 12 5 42% 0 0 0 5 5 0
FRS R-1540 14 5 36% 0 2 0 5 5 2
FRS R–1405 7 5 71% 1 0 0 4 4 0
SEC S7-04-11 22 5 23% 0 0 0 5 5 0
SEC S7-08-11 26 5 19% 0 1 0 5 5 3
SEC S7-13-11 38 5 13% 0 2 0 5 5 4
SEC S7-17-11 18 5 28% 0 0 0 5 5 0
SEC S7-44-10 15 5 33% 0 0 0 5 5 3
CFPB CFPB-2011-0004 9 6 67% 0 0 0 6 6 0
CFPB CFPB-2011-0023 8 6 75% 0 0 0 6 6 0
CFPB CFPB-2014-0003 12 6 50% 0 0 0 6 6 2
CFTC CFTC-2010-0165 46 6 13% 0 0 0 6 6 1
CFTC CFTC-2010-0167 27 6 22% 1 0 0 5 5 0
CFTC CFTC-2010-0187 16 6 38% 0 0 0 6 6 1
CFTC CFTC-2011-0105 47 6 13% 0 1 0 6 6 1
CFTC CFTC-2012-0023 38 6 16% 1 0 0 5 5 4
CFTC CFTC-2015-0053 17 6 35% 0 0 0 6 6 1
CFTC CFTC-2016-0107 41 6 15% 1 0 0 5 5 2
CFTC CFTC-2017-0027 9 6 67% 2 0 0 4 4 0
FRS R-1443_V2 11 6 55% 1 0 0 5 5 0
SEC S7-05-11 34 6 18% 1 0 0 5 5 5
SEC S7-09-15 37 6 16% 1 1 0 5 5 2
SEC S7-21-11 21 6 29% 0 0 0 6 6 0
SEC S7-35-10 31 6 19% 0 0 0 6 6 4
CFPB CFPB-2016-0016 17 7 41% 1 0 0 6 6 1
CFTC CFTC-2010-0157 31 7 23% 0 0 0 7 7 0
CFTC CFTC-2010-0162 21 7 33% 0 0 0 7 7 0
CFTC CFTC-2010-0175 29 7 24% 0 1 0 7 7 1
CFTC CFTC-2011-0002 78 7 9% 3 1 0 4 4 7
CFTC CFTC-2011-0071 41 7 17% 0 2 0 7 7 3
CFTC CFTC-2016-0090 26 7 27% 0 1 0 7 7 0
FRS R-1399_V1 12 7 58% 1 0 0 6 6 0
FRS R-1414 18 7 39% 0 0 0 7 7 1
FRS R-1457 18 7 39% 0 0 0 7 7 1
FRS R-1480 12 7 58% 2 0 0 5 5 0
FRS R-1539 25 7 28% 0 3 0 7 7 2
NCUA Share Insurance and Appendix 18 7 39% 0 0 0 7 7 1
SEC S7-07-11 36 7 19% 0 0 0 7 7 3
SEC S7-25-10 31 7 23% 1 0 0 6 6 1
SEC S7-32-10 14 7 50% 0 0 0 7 7 0
SEC S7-38-11 32 7 22% 0 1 0 7 7 3
CFPB CFPB-2014-0006 37 8 22% 0 0 0 8 8 1
CFPB CFPB-2014-0024 20 8 40% 1 0 0 7 7 2
CFTC CFTC-2010-0143 18 8 44% 0 0 0 8 8 1
FRS R-1405 17 8 47% 0 0 0 8 8 3
FRS R–1415 15 8 53% 2 1 0 6 6 0
SEC S7-18-08 82 8 10% 0 14 0 8 8 11
SEC S7-18-11 41 8 20% 0 1 0 8 8 3
CFPB CFPB-2011-0031 21 9 43% 1 0 0 8 8 2
CFTC CFTC-2010-0155 30 9 30% 0 0 0 9 9 3
CFTC CFTC-2010-0177 29 9 31% 0 0 0 9 9 4
CFTC CFTC-2010-0186 32 9 28% 0 3 0 9 9 1
CFTC CFTC-2010-0195 35 9 26% 0 0 0 9 9 5
FRS R-1401_V2 29 9 31% 1 1 0 8 8 4
FRS R-1505 19 9 47% 1 1 0 8 8 2
SEC S7-02-13 29 9 31% 0 0 0 9 9 2
SEC S7-37-10 87 9 10% 0 1 0 9 9 5
SEC S7-41-10 22 9 41% 0 0 0 9 9 0
CFPB CFPB-2012-0010 25 10 40% 2 2 0 8 8 1
CFPB CFPB-2013-0005 54 10 19% 0 0 0 10 10 2
CFPB CFPB-2013-0009 17 10 59% 5 0 0 5 5 1
CFPB CFPB-2014-0028 27 10 37% 3 1 0 7 7 2
FRS R-1537 29 10 34% 0 2 0 10 10 4
SEC S7-06-11 45 10 22% 0 4 0 10 10 1
SEC S7-07-15 55 10 18% 1 9 0 9 9 1
SEC S7-12-10 97 10 10% 0 2 0 10 10 7
SEC S7-31-10 48 10 21% 0 2 0 10 10 1
SEC S7-43-10 17 10 59% 0 0 0 10 10 2
CFPB CFPB-2012-0021 32 11 34% 0 1 0 11 11 4
FRS R-1392_V1 14 11 79% 4 0 0 7 7 0
FRS R-1460_V1 23 11 48% 1 1 0 10 10 2
FRS R-1534 27 11 41% 1 3 0 10 10 2
FRS R-1538 26 11 42% 0 0 0 11 11 3
CFTC CFTC-2010-0194 61 12 20% 1 2 0 11 11 3
FRS R-1486_V1 39 12 31% 2 0 0 10 10 1
CFPB CFPB-2013-0029 20 13 65% 4 1 0 9 9 2
CFTC CFTC-2016-0109 69 13 19% 0 3 0 13 13 2
FRS R-1550 50 13 26% 0 1 0 13 13 5
NCUA 3133-AE22 31 13 42% 0 0 0 13 13 1
SEC S7-08-13 31 13 42% 2 1 0 11 11 2
SEC S7-12-15 46 13 28% 1 3 0 12 12 3
SEC S7-23-07 37 13 35% 0 0 0 13 13 1
SEC S7-36-10 57 13 23% 0 0 0 13 13 5
CFPB CFPB-2013-0020 31 14 45% 1 1 0 13 13 1
CFPB CFPB-2014-0008 35 14 40% 4 4 0 10 10 3
CFTC CFTC-2010-0158 59 14 24% 1 1 0 13 13 4
CFTC CFTC-2011-0005 80 14 18% 2 1 0 12 12 2
CFTC CFTC-2011-0016 41 14 34% 0 1 0 14 14 2
CFTC CFTC-2012-0102 38 14 37% 1 2 0 13 13 0
SEC S7-24-10 38 14 37% 0 0 0 14 14 4
SEC S7-25-11 47 14 30% 0 0 0 14 14 0
SEC S7-27-10 75 14 19% 0 0 0 14 14 3
SEC S7-40-11 45 14 31% 0 0 0 14 14 4
CFTC CFTC-2010-0154 38 15 39% 0 0 0 15 15 2
SEC S7-26-10 45 15 33% 0 0 0 15 15 4
CFPB CFPB-2013-0031 38 16 42% 2 0 0 14 14 0
CFTC CFTC-2011-0003 186 16 9% 0 7 0 16 16 9
CFPB CFPB-2017-0018 36 17 47% 2 0 0 15 15 0
CFPB CFPB-2017-0021 28 17 61% 5 0 0 12 12 0
CFTC CFTC-2010-0109 133 17 13% 1 7 0 16 16 4
FRS R-1410 74 17 23% 3 2 0 14 14 13
CFTC CFTC-2010-0153 122 18 15% 3 1 0 15 15 1
CFTC CFTC-2012-0088 28 18 64% 1 0 0 17 17 0
FRS R-1407_V1 30 18 60% 3 0 0 15 15 2
CFTC CFTC-2011-0018 66 19 29% 0 1 0 19 19 3
CFTC CFTC-2011-0058 60 19 32% 1 0 0 18 18 1
CFTC CFTC-2011-0020 88 20 23% 0 0 0 20 20 4
CFPB CFPB-2012-0005 73 21 29% 0 1 0 21 21 9
CFTC CFTC-2011-0070 49 21 43% 0 0 0 21 21 0
CFTC CFTC-2012-0037 116 21 18% 0 2 0 21 21 8
SEC S7-16-11 41 21 51% 0 1 0 21 21 2
CFTC CFTC-2010-0193 94 23 24% 0 2 0 23 23 1
CFTC CFTC-2012-0138 117 23 20% 2 1 0 21 21 3
FRS R-1419 59 23 39% 11 3 0 12 12 2
CFTC CFTC-2010-0179 110 24 22% 0 2 0 24 24 6
FRS R-1536 64 25 39% 0 4 0 25 25 3
SEC S7-12-11 102 25 25% 1 1 0 24 24 20
SEC S7-34-10 125 25 20% 0 1 0 25 25 7
CFTC CFTC-2010-0178 128 26 20% 0 5 0 26 26 7
CFTC CFTC-2013-0098 63 26 41% 0 0 0 26 26 3
CFPB CFPB-2013-0010 60 30 50% 5 1 0 25 25 3
CFTC CFTC-2010-0138 165 30 18% 5 0 0 25 25 6
FRS R-1443_V1 42 30 71% 18 0 0 12 12 1
SEC S7-33-10 101 31 31% 0 2 0 31 31 2
CFTC CFTC-2010-0115 905 32 4% 5 1 0 27 27 6
NCUA Incentive-based Compensation Arrangements 67 32 48% 0 0 0 32 32 4
SEC S7-06-13 344 32 9% 0 1 0 32 32 5
SEC S7-39-10 87 32 37% 2 4 0 30 30 5
SEC S7-42-10 137 32 23% 1 4 0 31 31 6
CFTC CFTC-2011-0066 127 33 26% 0 2 0 33 33 5
CFTC CFTC-2012-0019 367 33 9% 3 7 0 30 30 13
FRS R-1413 48 33 69% 28 1 0 5 5 0
CFTC CFTC-2010-0140 184 36 20% 3 1 0 33 33 8
SEC S7-07-13 221 38 17% 3 10 0 35 35 15
SEC S7-03-13 179 39 22% 10 2 0 29 29 20
CFPB CFPB-2012-0031 83 41 49% 22 0 0 19 19 3
CFPB CFPB-2014-0009 62 41 66% 2 1 0 39 39 0
SEC S7-08-12 195 41 21% 0 1 0 41 41 6
CFPB CFPB-2015-0004 65 42 65% 21 0 0 21 21 1
CFPB CFPB-2012-0032 67 43 64% 14 1 0 29 29 3
CFPB CFPB-2012-0022 161 44 27% 9 1 0 35 35 3
CFPB CFPB-2012-0050 112 44 39% 11 4 0 33 33 3
CFPB CFPB-2013-0013 88 45 51% 9 0 0 36 36 3
FRS R-1438 150 45 30% 2 11 0 43 43 11
CFPB CFPB-2011-0002 113 47 42% 0 3 0 47 47 6
CFPB CFPB-2014-0010 86 47 55% 20 2 0 27 27 4
CFPB CFPB-2011-0009 113 48 42% 18 2 0 30 30 6
SEC S7-08-10 217 50 23% 4 5 0 46 46 13
SEC S7-41-11 303 54 18% 2 6 0 52 52 35
FRS R-1394_V1 373 55 15% 4 1 0 51 51 0
CFPB CFPB-2016-0038 267 56 21% 11 1 0 45 45 2
CFTC CFTC-2011-0049 285 63 22% 5 7 0 58 58 12
CFPB CFPB-2013-0033 183 67 37% 2 3 0 65 65 8
CFTC CFTC-2010-0196 452 69 15% 4 6 0 65 65 46
CFPB CFPB-2014-0033 154 70 45% 8 2 0 62 62 7
CFPB CFPB-2012-0034 144 71 49% 19 2 0 52 52 4
CFPB CFPB-2016-0020 682 78 11% 1 5 0 77 77 15
CFTC CFTC-2012-0058 356 79 22% 18 14 0 61 61 13
SEC S7-40-10 269 79 29% 6 7 0 73 73 7
CFPB CFPB-2015-0029 343 80 23% 25 1 0 55 55 2
CFPB CFPB-2013-0018 278 81 29% 10 3 0 71 71 8
CFPB CFPB-2012-0033 165 85 52% 33 2 0 52 52 5
FRS R-1417_V1 279 98 35% 24 3 0 74 74 5
CFPB CFPB-2019-0022 812 99 12% 3 1 0 96 96 0
CFPB CFPB-2012-0029 241 101 42% 55 0 0 46 46 10
FRS R-1432 373 103 28% 6 12 0 97 97 21
CFTC CFTC-2013-0107 511 114 22% 5 11 0 109 109 16
CFPB CFPB-2012-0037 647 126 19% 42 19 0 84 84 6
CFPB CFPB-2011-0008 915 127 14% 26 2 0 101 101 7
SEC S7-14-11 410 130 32% 4 5 0 126 126 23
FRS R-1411 494 197 40% 9 9 0 188 188 20
CFPB CFPB-2019-0021 278 198 71% 167 1 0 31 31 0
CFPB CFPB-2014-0019 362 206 57% 118 3 0 88 88 7
CFPB CFPB-2013-0002 865 264 31% 156 11 0 108 108 8
CFTC CFTC-2011-0013 3549 265 7% 7 110 0 258 258 38
SEC S7-45-10 769 272 35% 41 6 0 231 231 43
FRS R-1404 1023 411 40% 200 20 0 211 211 14
CFPB CFPB-2012-0028 2456 617 25% 241 25 0 376 376 28
FRS R-1442 1158 835 72% 719 28 0 116 116 8
CFPB CFPB-2016-0025 29638 3898 13% 92 4 0 3806 3806 156
# clean match data from finreg_commenter_covariates
load(here("data", "match_data_clean.Rdata"))

match_data_clean %>% count(comment_agency)
## # A tibble: 5 × 2
##   comment_agency     n
##   <chr>          <int>
## 1 CFPB           27378
## 2 CFTC            6219
## 3 FRS             3946
## 4 NCUA              90
## 5 SEC             4026
d <- match_data_clean  

#FIXME
d %<>% filter(org_name != "")

# make a numeric
d %<>%  
   mutate(marketcap = coalesce(`CIK-bestMatch:marketcap`, `compustat_resources-bestMatch:marketcap`) ) %>% 
  mutate(marketcap2 = ifelse(str_detect(marketcap, "k"),
                             marketcap %>% str_remove("k") %>% as.numeric() * 1000,
                             marketcap),
         marketcap2 = ifelse(str_detect(marketcap, "M"),
                             marketcap %>% str_remove("M") %>% as.numeric() * 1000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "B"),
                             marketcap %>% str_remove("B") %>% as.numeric() * 1000000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "T"),
                             marketcap %>% str_remove("T") %>% as.numeric() * 1000000000000,
                             marketcap2),
         marketcap2 = marketcap2 %>% str_remove(",") %>%  as.numeric(marketcap2))

By organization type

d %<>% mutate(#org_comment = ifelse(is_likely_org == 1, "Likely Org", "Likely Not Org"),
              Agency = str_to_upper(comment_agency))

#d %<>% filter(is_likely_org == 1)

#FIXME changing this 
d %<>% mutate(org_type = best_match_type)

d %<>% mutate(Org_type = org_type %>% 
                str_replace("CIK", "Publicly-traded company\n(SEC + Compustat Data)") %>% 
                str_replace("^Compustat", "Publicly-traded company\n(SEC + Compustat Data)") %>% 
                str_replace("FDIC", "FDIC-Insured Bank") %>% 
                str_replace("Nonprofit", "Nonprofit (IRS Data)") %>% 
                str_replace("FFIEC", "FFIEC Bank/Bank-like Entity") %>% 
                str_replace("OpenSecrets", "PAC Donor (CRP Data)"))

# comments 
d %>% group_by(Agency, Org_type) %>% 
  count() %>% 
  ggplot() +
  aes(x = Agency, y = n, fill = Org_type) + 
  geom_col() + 
  labs(fill = "Type of Organization",
       y = "Number of Comments")


# using best_match_type instead of org_type
#FIXME WHY IS THERE A DIFFERENCE
# d %>% 
#   mutate(Agency = str_spl(comment_agency, "\\|"),
#          org_type = Best_match_type %>% str_remove("_.*")) %>% 
#   unnest(Agency) %>%
#   group_by(Agency, org_type) %>% 
#   count() %>% 
#   ggplot() +
#   aes(x = Agency, y = n, fill = org_type) + 
#   geom_col() + 
#   #facet_wrap("org_comment", scales = "free") +
#   labs(fill = "Type of Organization",
#        y = "Number of Comments")

# unique orgs 
d %>% nrow() 
## [1] 31685
d %>% distinct(org_name) %>% nrow() 
## [1] 6455
d %>% distinct(Agency, Org_type, org_name) %>% 
  group_by(Agency, Org_type) %>% 
  count() %>%
  ggplot() +
  aes(x = Agency, y = n, fill = Org_type) + 
  geom_col() + 
  labs(fill = "Type of Organization",
       y = "Number of Organizations")


org_count_agency <- d %>% 
  count(org_name, org_type, org_resources, Agency)

org_count <- d  %>% 
  count(org_name, org_type, org_resources)


Comments per docket

d %>% count(Agency, docket_id) %>% 
  group_by(Agency) %>%
  summarise(mean_comments = mean(n),
            median_comments = median(n)) %>% 
  kablebox()
Agency mean_comments median_comments
CFPB 315.27941 20.5
CFTC 41.30337 16.0
FRS 62.70909 13.0
NCUA 20.75000 13.5
SEC 30.38000 7.0
d_rin_lookup <- d %>% full_join(rin_lookup) %>% 
  distinct(docket_id,
         #  RIN,
         related.rins, 
         lowest.sorted.rin.of.related.rins, 
         #docket_url,  
         comment_count,
         comment_url) %>% 
  group_by(docket_id) %>%
  mutate(comments_matched = sum(!is.na(comment_url) ) ) %>% 
  mutate(comment_count = as.numeric(comment_count)) %>% 
  dplyr::select(docket_id, comment_count,comments_matched, everything()) %>% 
  arrange(docket_id) %>% 
  filter(!is.na(docket_id))

d_rin_lookup  %>% 
  dplyr::select(-comment_url) %>% 
  distinct() %>% 
  #filter(comments_matched > 0)
  kablebox()
docket_id comment_count comments_matched lowest.sorted.rin.of.related.rins related.rins
09-006 NA 0 3038-AC79 3038-AC79
1004 15 0 NA NA
1007 371 0 3038-AC97 3038-AC97
1016 7608 0 3038-AC98 3038-AC98, 3038-AD35
1019 82 0 3038-AD54 3038-AD54
1032 143 0 3038-AD46 3038-AD46
1037 54 0 3038-AD53 3038-AD53
1038 50 0 3038-AC99 3038-AC99
1074 35 0 3038-AD51 3038-AD51
1075 58 0 3038-AD51 3038-AD51
1125 38 0 3038-AD18 3038-AD18
1157 399 0 3038-AD05 3038-AD05
1161 68 0 3038-AD75 3038-AD75
1171 11 0 3038-AD14 3038-AD14
1176 327 0 3038-AD08 3038-AD08
1210-ZA18 NA 0 1210-ZA18 1210-ZA18
1217 2 0 3038-AD66 3038-AD66
1227 6 0 3038-AD84 3038-AD84
1237 30 0 3038-AD47 3038-AD47
1247 13 0 3038-AD31 3038-AD31
1252 36 0 3038-AD86 3038-AD86
1256 43 0 3038-AD46 3038-AD46
1262 14 0 3038-AD47 3038-AD47
1291 148 0 3038-AD88 3038-AD88
1346 4 0 3038-AE00 3038-AE00
1391 13 0 3038-AE06 3038-AE06
1427 473 0 3038-AD82 3038-AD82
1436 635 0 3038-AD99 3038-AD99
1483 6 0 3038-AE14 3038-AE14
1503 13 0 3038-AE19 3038-AE19
1580 19 0 3038-AE26 3038-AE26
1614 19 0 3038-AE12 3038-AE12
1619 5 0 3038-AE17 3038-AE17
1701 1 0 NA NA
1703 8 0 NA NA
1711 12 0 3038-AE20 3038-AE20
1725 6 0 3038-AE47 3038-AE47
1729 2 0 3038-AE49 3038-AE49
1733 7 0 3038-AE50 3038-AE50
1752 33 0 3038-AE54 3038-AE54
1769 35 0 3038-AD54 3038-AD54
1772 449 0 3038-AD99 3038-AD99
1774 20 0 3038-AE36 3038-AE36
1776 1 0 3038-AE15 3038-AE15
1777 21 0 3038-AE44 3038-AE44
1811 12 0 3038-AE56 3038-AE56
2590-AA36 NA 0 2590-AA36 2590-AA36
2590-AA40 NA 0 2590-AA40 2590-AA40
2590-AA42 NA 0 1550-AC49 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50
2590-AA43 NA 0 1557-AD40 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70
2590-AA45 NA 0 1557-AD43 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74
2590-AA47 NA 0 2590-AA47 2590-AA47
2590–AA36 NA 0 NA NA
2590–AA40 NA 0 NA NA
2590–AA45 NA 0 NA NA
3038-AD13 8 0 3038-AD13 3038-AD13
3064-AD37 93 0 3064-AD37 3064-AD37
3064-AD56 87 0 1550-AC49 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50
3064-AD58 16 0 1557-AD33 1557-AD33, 3064-AD58
3064-AD59 7 0 3064-AD59 3064-AD59
3064-AD62 23 0 1550-AC43 1550-AC43, 1557-AD35, 3064-AD62, 7100-AD53
3064-AD63 5 0 3064-AD63 3064-AD63
3064-AD65 93 0 3064-AD65 3064-AD65
3064-AD66 33 0 3064-AD66 3064-AD66
3064-AD66 36 0 3064-AD66 3064-AD66
3064-AD68 NA 0 3064-AD68 3064-AD68
3064-AD69 5 0 3064-AD69 3064-AD69
3064-AD70 4 0 1557-AC99 1557-AC99, 3064-AD70, 7100-AD61
3064-AD70 28 0 1557-AC99 1557-AC99, 3064-AD70, 7100-AD61
3064-AD70 NA 0 1557-AC99 1557-AC99, 3064-AD70, 7100-AD61
3064-AD73 21 0 3064-AD73 3064-AD73
3064-AD74 293 0 1557-AD40 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70
3064-AD77 20 0 3064-AD77 3064-AD77, 7100-AD73
3064-AD78 8 0 3064-AD78 3064-AD78
3064-AD81 6 0 3064-AD81 3064-AD81
3064-AD82 3 0 3064-AD82 3064-AD82
3064-AD84 1 0 1505-AC36 1505-AC36, 3064-AD84
3064-AD85 NA 0 1557-AD44 1557-AD44, 3064-AD85, 7100-AD82
3064-AD86 53 0 1550-AC49 1550-AC49, 1557-AD39, 2590-AA42, 3064-AD56, 3064-AD86, 3133-AD88, 3133-AE48, 7100-AD69, 7100-AE50
3064-AD88 2 0 3064-AD88 3064-AD88
3064-AD89 5 0 3064-AD89 3064-AD89
3064-AD91 18 0 3064-AD91 3064-AD91
3064-AD92 18 0 3064-AD92 3064-AD92
3064-AD94 7 0 3064-AD94 3064-AD94
3064-AD95 1529 0 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
3064-AD95 3 0 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
3064-AD95 NA 0 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
3064-AD97 1058 0 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
3064-AD97 1482 0 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
3064-AE04 105 0 1557-AD74 1557-AD74, 3064-AE04, 7100-AE03
3064-AE05 2 0 3064-AE05 3064-AE05
3064-AE11 16 0 1557-AD79 1557-AD79, 3064-AE11, 7100-AE11
3064-AE12 13 0 1557-AD81 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17
3064-AE12 2 0 1557-AD81 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17
3064-AE13 2 0 1557-AD81 1557-AD81, 1557-AD83, 3064-AE12, 3064-AE13, 7100-AD16, 7100-AE17
3064-AE16 4 0 3064-AE16 3064-AE16
3064-AE18 3 0 3064-AE18 3064-AE18
3064-AE21 63 0 1557-AD43 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74
3064-AE21 11 0 1557-AD43 1557-AD43, 2590-AA45, 3064-AD79, 3064-AE21, 7100-AD74
3064-AE30 3 0 3064-AE30 3064-AE30
3064-AE36 2 0 3064-AE36 3064-AE36
3064-AE37 516 0 3064-AE37 3064-AE37
3064-AE37 19 0 3064-AE37 3064-AE37
3064-AE39 2 0 3064-AE39 3064-AE39
3064-AE46 14 0 3064-AE46 3064-AE46
3064–AD79 114 0 NA NA
3064–AE01 27 0 NA NA
3064–AE10 42 0 NA NA
3064–AE21 NA 0 NA NA
3064–AE25 2 0 NA NA
3064–AE45 24 0 NA NA
3064–AE58 2 0 NA NA
3133-AE22 34 15 1557-AD64 1557-AD64, 3064-AE10, 3133-AE22, 3170-AA44, 7100-AE15
748 9016 0 3038-AC61 3038-AC61
759 964 0 NA NA
765 26 0 NA NA
767 15 0 3038-AD24 3038-AD24
768 61 0 NA NA
861 1139 0 3038-AD01 3038-AD01
868 50 0 NA NA
878 3 0 3038-AD12 3038-AD12
888 3 0 3038-AD11 3038-AD11
889 1166 0 3038-AD17 3038-AD17
890 71 0 3038-AD00 3038-AD00
891 9 0 3038-AD07 3038-AD07
893 54 0 3038-AD26 3038-AD26
893 54 0 3038-AD96 3038-AD96
894 71 0 3038-AC15 3038-AC15
895 888 0 3038-AD27 3038-AD27
897 58 0 3038-AC96 3038-AC96
899 65 0 3038-AC96 3038-AC96
902 932 0 3038-AD19 3038-AD19
903 80 0 3038-AC95 3038-AC95
904 812 0 3038-AC96 3038-AC96
905 800 0 3038-AC96 3038-AC96
912 37 0 3038-AD99 3038-AD99
913 53 0 3038-AD28 3038-AD28
916 638 0 3038-AD04 3038-AD04
920 150 0 3038-AD19 3038-AD19
921 51 0 3038-AC96 3038-AC96
924 193 0 3038-AD08 3038-AD08
925 65 0 3038-AC98 3038-AC98, 3038-AD35
927 11 0 3038-AD29 3038-AD29
929 49 0 3038-AC98 3038-AC98, 3038-AD35
933 1095 0 3038-AD06 3038-AD06
934 102 0 3038-AD09 3038-AD09
935 201 0 3038-AD25 3038-AD25
937 1554 0 3038-AD10 3038-AD10
939 85 0 3038-AD20 3038-AD20
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S7-34-10;S7-02-13 NA 1 NA NA
S7-34-10;S7-05-14 NA 1 NA NA
S7-34-10;S7-25-11;S7-40-11;S7-08-12;S7-05-14 NA 1 NA NA
S7-34-10;S7-40-11 NA 7 NA NA
S7-34-10;S7-40-11;S7-02-13 NA 12 NA NA
S7-34-10;S7-40-11;S7-08-12 NA 2 NA NA
S7-35-10 36 9 NA NA
S7-35-10;S7-25-11 NA 1 NA NA
S7-35-10;S7-34-10 NA 6 NA NA
S7-35-10;S7-34-10;S7-02-13 NA 1 NA NA
S7-35-10;S7-40-11 NA 1 NA NA
S7-35-11 184 7 NA NA
S7-36-10 77 22 NA NA
S7-37-10 123 47 NA NA
S7-37-10;S7-25-10;S7-36-10 NA 1 NA NA
S7-37-10;S7-36-10 NA 12 NA NA
S7-38-11 43 21 NA NA
S7-38-11;S7-08-10 NA 1 NA NA
S7-39-10 99 62 NA NA
S7-39-10;S7-32-10;S7-43-10;S7-35-10;S7-44-10;S7-06-11;S7-08-11;S7-34-10;S7-27-10 NA 1 NA NA
S7-39-10;S7-43-10 NA 1 NA NA
S7-39-10;S7-44-10;S7-34-10 NA 1 NA NA
S7-40-10 442 149 3235-AK84 3235-AK84
S7-40-11 53 5 NA NA
S7-40-11;S7-02-13 NA 1 NA NA
S7-40-11;S7-08-12 NA 1 NA NA
S7-41-10 34 14 3235-AK83 3235-AK83
S7-41-10;S7-42-10;S7-40-10 NA 3 NA NA
S7-41-11 527 223 NA NA
S7-42-10 364 73 3235-AK85 3235-AK85
S7-42-10;S7-40-10 NA 2 NA NA
S7-43-10 21 13 NA NA
S7-43-10;S7-44-10;S7-39-10 NA 1 NA NA
S7-44-10 19 6 NA NA
S7-44-10;S7-39-10 NA 1 NA NA
S7-45-10 897 520 NA NA
Share Insurance and Appendix 18 12 3133-AD79 3133-AD79
TREAS-DO-2011-0004 24 0 NA NA
TREAS-DO-2011-0009 1 0 1535-AA02 1535-AA02
TREAS-DO-2011-0011 2 0 1505-AC38 1505-AC38
TREAS-DO-2011-0012 2 0 1505-AC36 1505-AC36, 3064-AD84
TREAS-DO-2012-0001 20 0 1505-AC42 1505-AC42
TREAS-DO-2012-0005 8 0 1505-AC40 1505-AC40
TREAS-DO-2015-0001 19 0 1505-AC36 1505-AC36, 3064-AD84
VA-2014-VBA-0008 22 0 2900-AO65 2900-AO65

Some of these appear to be over-matched, but it is also possible that the comment counts are wrong.

# 6 over matched 
d_rin_lookup %>% 
  filter(comment_count < comments_matched) %>%
  #arrange(comment_url) %>% 
  dplyr::select(-comment_url) %>% 
  distinct() %>% 
  kablebox()
docket_id comment_count comments_matched lowest.sorted.rin.of.related.rins related.rins
R-1404 42 1308 7100-AD63 7100-AD63
R-1411 404 764 1557-AD40 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70
R-1411 197 764 1557-AD40 1557-AD40, 2501-AD53, 2590-AA43, 3064-AD74, 7100-AD70
R-1438 104 238 7100-AD86 7100-AD86
R-1438 63 238 7100-AD86 7100-AD86
R-1442 1281 2066 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87
R-1442 10 2066 1557-AD46 1557-AD46, 3064-AD95, 3064-AD97, 7100-AD87

Payday loan rule

The payday loan rule accounts for 90% of credit union comments and 50% of nonprofit comments, and 75% of open secrets matched comments in the current data. 15% of nonprofits and 30% of opensecrets matches commented only on the payday loan rule

d %<>% mutate(payday = ifelse(str_detect(comment_url, "CFPB-2016-0025|CFPB-2019-0006"), "Payday Loan Rules", "All Other Rules"))

d %>% group_by(Agency, Org_type, payday) %>% 
  count() %>% 
  ggplot() +
  aes(x = Agency, y = n, fill = Org_type) + 
  geom_col() + 
  labs(fill = "Type of Organanization",
       y = "Number of Comments") + 
  facet_wrap("payday")

# number of payday loan comments per org 
d %>% 
  #filter(payday == "Payday Loan Rules") %>% 
  count(comment_org_name, best_match_name, sort = T) %>% 
  kablebox() 
comment_org_name best_match_name n
organization unknown 2 time 2 win community organization 6337
organization unknown 1 love 1 another organization 2664
advance financial advance financial 1967
axcess financial axcess financial services 1928
cash express cash express 536
peoples action institute peoples action institute 205
private investor private investor reserves 182
americans financial reform americans financial reform 161
better markets better markets 156
advance america advance planing america 144
cooperative baptist fellowship cooperative baptist fellowship florida 142
organization unknown 4 team 4 organization 139
managed funds association managed funds association 111
amscot financial amscot financial 110
virginia organizing virginia organizing 103
individual investor individual investor 102
american bankers association american bankers association 100
united states senate united states senate 100
financial services roundtable financial services roundtable 94
securities industry financial markets association securities industry financial markets association 94
national council la raza national council la raza 88
check cash check cash 81
investment company institute investment company institute 81
congress united states united states bowing congress 78
us senate us senate 75
independent community bankers america independent community bankers america 73
c2 financial c2 financial 69
us house representatives us house representatives 69
us chamber commerce us chamber commerce 68
mortgage bankers association texas mortgage bankers association 66
edina realty title edina realty foundation 65
morgan stanley morgan stanley 65
national association federal credit unions national association federal credit unions 65
wells fargo wells fargo 65
florida alliance consumer protection alliance consumer protection beaver county 59
private individual missouri private sector individual self insurers guaranty 59
national consumer law center national consumer law center 55
credit union national association credit union national association 54
maryland consumer rights coalition maryland consumer rights coalition 54
wisconsin bankers association wisconsin bankers association 54
consumer mortgage coalition consumer mortgage coalition 52
international swaps derivatives association international swaps derivatives association 49
american council life insurers american council life insurers 48
american securitization forum american securitization forum 48
communities united action communities united action 47
depository trust clearing depository trust clearing 46
ohio credit union league ohio credit union league 44
american bar association american bar association 42
independent bankers association texas independent bankers association texas 42
mi financial mi financial 42
community choice financial community choice financial 41
missouri credit union association missouri credit union assn 41
national association realtors national association realtors 41
center responsible lending center responsible lending 40
futures industry association futures industry association 39
goldman sachs goldman sachs 39
us citizen citizen impact usa 39
committee on capital markets regulation committee on capital markets regulation 38
institute international bankers institute international bankers 38
montana organizing project montana hope project 38
association institutional investors association institutional investors 36
clearing house association clearing house association 36
freddie mac freddie mac 36
illinois peoples action illinois peoples action 36
edison electric institute edison electric institute 35
peoples bank peoples bank 35
bank america bank america 34
minneapolis grain exchange minneapolis grain shippers association 34
commodity markets council commodity market council 33
new jersey citizen action citizen action new jersey 33
public citizen public citizen 33
wisconsin credit union league wisconsin credit union league 32
concerned citizen concerned citizen riverside 31
north american title north american title 31
iowa bankers association iowa bankers association 30
michigan united united bank michigan 30
american gas association american gas association 29
american pacific mortgage american pacific bank 29
asset management group securities industry financial markets association asset management group bank hawaii et al 29
conference state bank supervisors conference state bank supervisors 29
international bancshares international bancshares 29
state street state street 29
international energy credit association international energy credit association 27
b d title loans b r d industries 26
pnc financial services pnc financial services 26
investment adviser association investment adviser association 25
loan syndications trading association loan syndications trading association 25
michigan credit union league michigan credit union league 25
national association home builders national association home builders united states 25
united states congress united states bowing congress 25
virginia organizing project fund virginia organizing project 25
bank tokyomitsubishi ufj ltd mizuho corporate bank ltd sumitomo mitsui banking bank tokyomitsubishi 24
first state bank first state bank 24
national fair housing alliance national fair housing alliance 24
california association mortgage professionals california association mortgage professionals 23
consumer bankers association consumer bankers association 23
options clearing options clearing 23
quicken loans quicken loans 23
american citizen american polish citizen club 22
american title escrow meridian title escrow 22

Potential false matches

false_match <- "nknown|private investor|private individual|self employed|american citizen|us citizen|advance america|b d | store 7|debt trap|financial 3|united states congress|lending bear|check city partnership|plan nevada|clarity services|title cash|st louis community credit union|antipoverty coalition greater dallas|faith fair lending|south carolina state senate|florida alliance consumer protection|minneapolis grain exchange|asset management group securities industry financial markets association|american title escrow|ssociation financial guaranty insurers|american financial services association|credit union association dakotas|working group commercial energy firms|center capital markets competitiveness|chelsea title nature coast|kendall county|california nevada credit union leagues|futures industry association fia|national rural electric cooperative association|pennsylvania housing finance agency|members congress|new york portfolio clearing|check city partnership|central title|committee on investment employee benefit assets|futures industry association|national association independent housing professionals"

# possible false positives
d %>% filter(str_detect(comment_org_name, false_match)) %>% nrow() %>% paste("potential false matches")
## [1] "10333 potential false matches"
# false positive orgs 
d %>% filter(str_detect(comment_org_name, false_match)) %>% 
  count(comment_org_name, best_match_name, best_match_score, best_match_type, sort = T) %>% 
  #kable(format = "markdown")
  kablebox()
comment_org_name best_match_name best_match_score best_match_type n
organization unknown 2 time 2 win community organization 0.7082184 Nonprofit 6337
organization unknown 1 love 1 another organization 0.8226513 Nonprofit 2664
private investor private investor reserves 1.0000000 CIK 182
advance america advance planing america 1.0000000 CIK 144
organization unknown 4 team 4 organization 0.9872484 Nonprofit 139
florida alliance consumer protection alliance consumer protection beaver county 0.7350355 Nonprofit 59
private individual missouri private sector individual self insurers guaranty 1.0000000 Nonprofit 59
futures industry association futures industry association 1.0000000 Nonprofit 39
us citizen citizen impact usa 0.5185185 Nonprofit 39
minneapolis grain exchange minneapolis grain shippers association 0.8463583 Nonprofit 34
asset management group securities industry financial markets association asset management group bank hawaii et al 0.6721220 CIK 29
b d title loans b r d industries 0.7280675 CIK 26
united states congress united states bowing congress 1.0000000 Nonprofit 25
american citizen american polish citizen club 1.0000000 Nonprofit 22
american title escrow meridian title escrow 0.9269307 CIK 22
american financial services association native american financial services association 1.0000000 Nonprofit 21
credit union association dakotas community healthcare association dakotas 0.9733001 Nonprofit 19
association financial guaranty insurers mississippi workers compensation self insurers guaranty association 0.9930529 Nonprofit 18
working group commercial energy firms virginia group local cpa firms 0.5748413 Nonprofit 18
center capital markets competitiveness national center industrial competitiveness 0.8679807 Nonprofit 17
chelsea title nature coast suntrust bank nature coast 0.6473611 FDIC 17
kendall county abstract casa kendall county 0.8729128 Nonprofit 17
self employed national association self employed 1.0000000 Nonprofit 17
advance financial store 7 7 advanced technologies limited partnership 0.5982322 CIK 16
california nevada credit union leagues american association credit union leagues 0.6941088 Nonprofit 15
futures industry association fia fia card services national association 0.7179321 FDIC 15
national rural electric cooperative association american public power association large public power council large public power council 0.6571190 Nonprofit 15
pennsylvania housing finance agency pennsylvania homeschoolers accreditation agency 0.7741571 Nonprofit 15
stop debt trap campaign campaign fix debt 0.9373975 OpenSecrets 14
members congress former members congress 1.0000000 Nonprofit 13
new york portfolio clearing new york municipals portfolio 0.8756366 CIK 13
us chamber commerce center capital markets competitiveness national center industrial competitiveness 0.5633987 Nonprofit 13
check city partnership city center partnership 0.8342030 Nonprofit 12
advance financial 3 wfs receivables corp 3 wfs financial 20051 owner trust 0.9446281 CIK 11
central title central alabama title center 1.0000000 CIK 11
committee on investment employee benefit assets montgomery community action committee employee benefit tr 0.6460481 Nonprofit 11
national rural electric cooperative association national rural electric cooperative association 1.0000000 CIK 11
futures industry association financial services forum international swaps derivatives association securities industry financial markets association presidents forum beverage alcohol industry 0.3674997 Nonprofit 10
national association independent housing professionals american association independent claims professionals 0.7973882 Nonprofit 10
national rural electric cooperative association american public power association large public power council edison electric institute electric power supply association large public power council 0.4573353 Nonprofit 9
american benefits council committee on investment employee benefit assets aplus benefits inc employee benefit trust 0.6525835 Nonprofit 8
plan nevada nevada automobile insurance plan 1.0000000 Nonprofit 7
private us citizen citizen impact usa 0.3575750 Nonprofit 7
stop debt trap coalition lowell trap neuter return coalition 0.5875200 Nonprofit 7
clarity services clarity health services 1.0000000 CIK 6
lending bear bear creek lending 2012 lllp 1.0000000 CIK 5
st louis community credit union st louis community college foundation 0.9755122 Nonprofit 5
antipoverty coalition greater dallas childrens chorus greater dallas 0.8553195 Nonprofit 4
faith fair lending fairhaven ministry faith hope love 0.4308258 Nonprofit 4
futures industry association fia international swaps derivatives association inc isda securities industry financial markets association sifma fia card services national association 0.2904180 FDIC 4
futures industry association international swaps derivatives association securities industry financial markets association international swaps derivatives association 0.5136137 Nonprofit 4
national rural electric cooperative association nreca nreca international 0.9160182 Nonprofit 4
south carolina state senate state bank south carolina 0.8634768 FDIC 4
title cash cash time title loans 1.0000000 OpenSecrets 4
none private investor private investor reserves 0.7450887 CIK 3
american benefits council abc committee on investment employee benefit assets cieba abc rail products corp medical benefit tr retired collect b u e 0.4271235 Nonprofit 2
american benefits council abc committee on investment employee benefit assets cieba united states steel carnegie pension fund nisa investment advisors united states steel carnegie pension fund adv 0.5524265 CIK 2
center capital markets competitiveness us chamber commerce national center industrial competitiveness 0.5633987 Nonprofit 2
committee on investment employee benefit assets cieba american benefits council abc nisa investment advisors lockheed martin davis harman general motors winston strawn skadden arps lockheed martin utility services inc benefit tr salaried employees 0.3452747 Nonprofit 2
concerned us citizen concerned citizen riverside 0.9002282 Nonprofit 2
edison electric institute national rural electric cooperative association edison electric institute retiree med vol employee beneficiary assn 0.5959962 Nonprofit 2
futures industry association international swaps derivatives association international swaps derivatives association 0.6622114 Nonprofit 2
national rural electric cooperative association american public power association large public power council transmission access policy study transmission access policy study 0.8821675 Nonprofit 2
native american financial services association native american financial services association 1.0000000 Nonprofit 2
private american citizen american polish citizen club 0.6264554 Nonprofit 2
retired us citizen taxpayer voter missouri jobs justice voter action 0.5747683 Nonprofit 2
securities exchange commission sec asset management group securities industry financial markets association sifma amg blackrock davis polk fidelity investments fidelity pimco vanguard goldman sachs mfs investment management mfs wellington capital management wellington mfs investment management co lux sarl 0.4028298 CIK 2
securities industry financial markets association futures industry association futures industry association 0.7138195 Nonprofit 2
advance america cash advance centers advance america cash advance centers 1.0000000 CIK 1
am private individual investor invests in retail silver speculates in commodities exchange waugh invests in student excellence education foundation 0.4680460 Nonprofit 1
american citizen master trader american beacon master trust 0.7972653 CIK 1
american financial services association et al american hospital association services inc et al 0.9949879 CIK 1
american financial services association national association industrial bankers american industrial real estate association 0.8950077 Nonprofit 1
american gas association american public power association edison electric institute electric power supply association large public power council national rural electric cooperative association large public power council 0.4236915 Nonprofit 1
american public power association edison electric institute electric power supply association large public power council national rural electric cooperative association large public power council 0.4573353 Nonprofit 1
american title escrow carbon county carbon county child development programs 0.9671948 Nonprofit 1
american title escrow yellowstone county boys girls club yellowstone county 0.9778135 Nonprofit 1
asset management group securities industry financial markets association sifma livingston group asset management co operating southport capital management 0.5302934 CIK 1
committee on investment employee benefit assets american benefits council aplus benefits inc employee benefit trust 0.6525835 Nonprofit 1
commodity markets council futures industry association national milk producers federation national council farmer cooperatives national grain feed association national milk producers federation 0.5300308 Nonprofit 1
concerned american citizen concerned citizen riverside 0.9484093 Nonprofit 1
consumer mortgage coalition american financial services association consumer mortgage coalition 0.6737298 Nonprofit 1
credit union association dakotas midamerica 1st midamerica credit union 0.9521986 Nonprofit 1
edison electric institute electric power supply association national rural electric cooperative association american public power association american gas association large public power council tax finance task force federal retirees tax equity task force 0.6349553 Nonprofit 1
edison electric institute national rural electric cooperative association electric power supply association edison electric institute retiree med vol employee beneficiary assn 0.4627695 Nonprofit 1
electric power supply association edison electric institute national rural electric cooperative association american public power association large public power council large public power council 0.4573353 Nonprofit 1
futures industry association fia securities industry financial markets association sifma fia card services national association 0.4933928 FDIC 1
goldman sachs credit suisse securities usa llc jp morgan securities futures industry association fia securities industry financial markets association sifma pershing morgan stanley co wilmer hale newedge macquarie general john j pershing memorial hospital association 0.6776319 Nonprofit 1
human race us citizen foundation survival human race 0.9813966 Nonprofit 1
individual private investors aepf private investors 0.9609433 CIK 1
individual us citizen citizen impact usa 0.4765655 Nonprofit 1
international swaps derivatives association inc isda futures industry association fia fia card services national association 0.3521049 FDIC 1
limit free self am private investor no limit games 0.5072254 CIK 1
missouri central title central missouri community 0.9554285 Credit Union 1
missouri central title inc dba texas county title rta hospice charitable fund central az inc dba rta hospice 0.6668085 Nonprofit 1
national rural electric cooperative association american public power association national rural electric cooperative association 0.6752424 CIK 1
national rural electric cooperative association american public power association large public power council edison electric institute large public power council 0.5059070 Nonprofit 1
national rural electric cooperative association edison electric institute large public power council electric power supply association large public power council 0.4106013 Nonprofit 1
national rural electric cooperative association large public power council electric power supply association large public power council 0.5153062 Nonprofit 1
native american financial services association nafsa nafsa association international educators 0.8319365 Nonprofit 1
# false positive comments 
d %>% filter(str_detect(comment_org_name,  false_match)) %>% 
  dplyr::select(#starts_with("docket"), 
    starts_with("comment"),
         starts_with("best"), everything() ) %>% 
  dplyr::select(-comment_docket_count, -comment_agency) %>% 
  kablebox()
comment_url comment_org_name comment_submitter_name best_match_name best_match_score best_match_type best_match_org_comments docket_id CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name FDIC_Institutions-bestMatch:ASSET FDIC_Institutions-bestMatch:STNAME CIK-bestMatch:marketcap SEC_Institutions-bestMatch:Ticker compustat_resources-bestMatch:marketcap compustat_resources-bestMatch:naics nonprofits_resources-bestMatch:assets nonprofits_resources-bestMatch:revenue nonprofits_resources-bestMatch:ein opensecrets_resources_jwVersion-bestMatch:MeanContribAmountPerYearContributed opensecrets_resources_jwVersion-bestMatch:TotalContribAmount matches org_name org_type org_resources opensecrets_resources_name org_comments marketcap marketcap2 Agency Org_type payday
https://www.regulations.gov/document?D=CFPB-2019-0022-12043 credit union association dakotas shawn brummer community healthcare association dakotas 0.9733001 Nonprofit 19 CFPB-2019-0022 NA NA NA NA NA NA community healthcare association dakotas NA NA NA NA NA NA NA 387059 1798406 363377788 NA NA community healthcare association dakotas-Nonprofit community healthcare association dakotas Nonprofit 387059 NA 19 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2019-0021-0432 california nevada credit union leagues diana dykstra american association credit union leagues 0.6941088 Nonprofit 15 CFPB-2019-0021 NA NA NA NA NA NA american association credit union leagues NA NA NA NA NA NA NA 653146 946721 756046595 NA NA american association credit union leagues-Nonprofit american association credit union leagues Nonprofit 653146 NA 18 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2019-0022-9163 native american financial services association gary davis native american financial services association 1.0000000 Nonprofit 24 CFPB-2019-0022 NA NA NA NA NA NA native american financial services association NA NA NA NA NA NA NA NA NA 455572815 NA NA native american financial services association-Nonprofit native american financial services association Nonprofit NA NA 2 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2019-0022-9556 pennsylvania housing finance agency rebecca peace pennsylvania homeschoolers accreditation agency 0.7741571 Nonprofit 15 CFPB-2019-0022 NA NA NA NA NA NA pennsylvania homeschoolers accreditation agency NA NA NA NA NA NA NA 39009 46075 251776234 NA NA pennsylvania homeschoolers accreditation agency-Nonprofit pennsylvania homeschoolers accreditation agency Nonprofit 39009 NA 16 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2019-0022-9526 us chamber commerce center capital markets competitiveness tom quaadman national center industrial competitiveness 0.5633987 Nonprofit 32 CFPB-2019-0022 NA NA NA NA NA NA national center industrial competitiveness NA NA NA NA NA NA NA 1565507 184 311412916 NA NA national center industrial competitiveness-Nonprofit national center industrial competitiveness Nonprofit 1565507 NA 15 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2019-0021-0256 credit union association dakotas jeff olson community healthcare association dakotas 0.9733001 Nonprofit 19 CFPB-2019-0021 NA NA NA NA NA NA community healthcare association dakotas NA NA NA NA NA NA NA 387059 1798406 363377788 NA NA community healthcare association dakotas-Nonprofit community healthcare association dakotas Nonprofit 387059 NA 19 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2017-0021-0014 credit union association dakotas jeffrey olson community healthcare association dakotas 0.9733001 Nonprofit 19 CFPB-2017-0021 NA NA NA NA NA NA community healthcare association dakotas NA NA NA NA NA NA NA 387059 1798406 363377788 NA NA community healthcare association dakotas-Nonprofit community healthcare association dakotas Nonprofit 387059 NA 19 NA NA CFPB Nonprofit (IRS Data) All Other Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211401 organization unknown 1 shelby livingston love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211402 organization unknown 1 valentina campos love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211131 organization unknown 1 joan boyce love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211403 organization unknown 1 jola wallowingbull love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211132 organization unknown 1 sybilroxanne clemons love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209693 organization unknown 1 racheal harris love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209419 organization unknown 1 william faiman love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211404 organization unknown 1 elizaeth pauza love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211421 organization unknown 1 laurie fujimoto love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211133 organization unknown 1 norma sauers love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209694 organization unknown 1 yannely garcia love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209995 organization unknown 1 malik rhodes love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
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https://www.regulations.gov/document?D=CFPB-2016-0025-209439 organization unknown 1 johniece gibson love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209170 organization unknown 1 gregory dustin love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211424 organization unknown 1 quintesa ehimare love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-210542 organization unknown 1 joseph gumataotao love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-210840 organization unknown 1 rachael goble love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-210077 organization unknown 1 rosalyn pruitt love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-210998 organization unknown 1 stephen griswold love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-210743 organization unknown 1 vickie hyde love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-209155 organization unknown 1 tito figueroa love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211136 organization unknown 1 teresa taliaferro love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
https://www.regulations.gov/document?D=CFPB-2016-0025-211151 organization unknown 1 cary lewis love 1 another organization 0.8226513 Nonprofit 2664 CFPB-2016-0025 NA NA NA NA NA NA love 1 another organization NA NA NA NA NA NA NA 1 18 721553755 NA NA love 1 another organization-Nonprofit love 1 another organization Nonprofit 1 NA 3008 NA NA CFPB Nonprofit (IRS Data) Payday Loan Rules
# drop false matches 
d %<>% filter(!str_detect(comment_org_name, false_match))


d %>% 
  filter(str_detect(best_match_name, "financial")) %>% 
  arrange(-org_comments) %>% 
  dplyr::select(org_comments, comment_org_name,  best_match_name, best_match_score, best_match_type, comment_url, everything()) %>% 
  kablebox()
org_comments comment_org_name best_match_name best_match_score best_match_type comment_url docket_id comment_docket_count comment_agency comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name FDIC_Institutions-bestMatch:ASSET FDIC_Institutions-bestMatch:STNAME CIK-bestMatch:marketcap SEC_Institutions-bestMatch:Ticker compustat_resources-bestMatch:marketcap compustat_resources-bestMatch:naics nonprofits_resources-bestMatch:assets nonprofits_resources-bestMatch:revenue nonprofits_resources-bestMatch:ein opensecrets_resources_jwVersion-bestMatch:MeanContribAmountPerYearContributed opensecrets_resources_jwVersion-bestMatch:TotalContribAmount matches org_name org_type org_resources opensecrets_resources_name best_match_org_comments marketcap marketcap2 Agency Org_type payday
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144346 CFPB-2016-0025 1 CFPB richard buchanan NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144358 CFPB-2016-0025 1 CFPB cornillo moreno NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144357 CFPB-2016-0025 1 CFPB susana garcia mora NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144355 CFPB-2016-0025 1 CFPB marvin rodriguez NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144354 CFPB-2016-0025 1 CFPB juan enrique arias delgado NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144886 CFPB-2016-0025 1 CFPB michael morgan NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-144950 CFPB-2016-0025 1 CFPB mike lynn NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145355 CFPB-2016-0025 1 CFPB mary constocel NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145537 CFPB-2016-0025 1 CFPB melissa jones NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145534 CFPB-2016-0025 1 CFPB nigel gwan NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145533 CFPB-2016-0025 1 CFPB matthew harvey NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145620 CFPB-2016-0025 1 CFPB mary brown NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145508 CFPB-2016-0025 1 CFPB christian beck NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-145517 CFPB-2016-0025 1 CFPB fernando bravo NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154176 CFPB-2016-0025 1 CFPB audrey jones NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151959 CFPB-2016-0025 1 CFPB melissa richmond NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-157596 CFPB-2016-0025 1 CFPB allison wood NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154022 CFPB-2016-0025 1 CFPB josh jones NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156841 CFPB-2016-0025 1 CFPB diego romero NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154813 CFPB-2016-0025 1 CFPB jake trapp NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-157509 CFPB-2016-0025 1 CFPB shane hillman NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150423 CFPB-2016-0025 1 CFPB thomas peterson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150916 CFPB-2016-0025 1 CFPB roger tanner NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156316 CFPB-2016-0025 1 CFPB arturo villa NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156631 CFPB-2016-0025 1 CFPB anonymous anonymous NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-152220 CFPB-2016-0025 1 CFPB shirley barnes NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156221 CFPB-2016-0025 1 CFPB miguel santo NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156575 CFPB-2016-0025 1 CFPB janette smith NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156071 CFPB-2016-0025 1 CFPB janice vines NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154827 CFPB-2016-0025 1 CFPB lonnie compton NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154780 CFPB-2016-0025 1 CFPB ryan dunlap NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156607 CFPB-2016-0025 1 CFPB ashley shepherd NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-153158 CFPB-2016-0025 1 CFPB paula steele NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150849 CFPB-2016-0025 1 CFPB michael tatham NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150837 CFPB-2016-0025 1 CFPB howard frederick NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-152610 CFPB-2016-0025 1 CFPB ray dalton NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154751 CFPB-2016-0025 1 CFPB charles beltz NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151449 CFPB-2016-0025 1 CFPB anonymous anonymous NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-153436 CFPB-2016-0025 1 CFPB danaya stockard NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150798 CFPB-2016-0025 1 CFPB duina flores NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-155206 CFPB-2016-0025 1 CFPB melinda fultz NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151619 CFPB-2016-0025 1 CFPB phillip armstrong NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-153946 CFPB-2016-0025 1 CFPB nathan harris NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-153776 CFPB-2016-0025 1 CFPB noe ortz NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151652 CFPB-2016-0025 1 CFPB david franklin NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154815 CFPB-2016-0025 1 CFPB ash lavoie NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154812 CFPB-2016-0025 1 CFPB michelle lavoie NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151486 CFPB-2016-0025 1 CFPB amber trail NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154785 CFPB-2016-0025 1 CFPB kimberly hassell NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-155553 CFPB-2016-0025 1 CFPB cary cook NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150392 CFPB-2016-0025 1 CFPB james westmoreland NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-151962 CFPB-2016-0025 1 CFPB jay tarter NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150836 CFPB-2016-0025 1 CFPB mark hall NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-157797 CFPB-2016-0025 1 CFPB jordan anderson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-156676 CFPB-2016-0025 1 CFPB eric johnson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-150408 CFPB-2016-0025 1 CFPB ashley elder NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-154802 CFPB-2016-0025 1 CFPB imani joyner NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-169355 CFPB-2016-0025 1 CFPB cynthia bryson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-169417 CFPB-2016-0025 1 CFPB ismael lopez NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-165015 CFPB-2016-0025 1 CFPB nathaniel brunson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-164437 CFPB-2016-0025 1 CFPB basiru konta NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-169291 CFPB-2016-0025 1 CFPB justin richardson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161694 CFPB-2016-0025 1 CFPB april nelson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161581 CFPB-2016-0025 1 CFPB johnny vince NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-162868 CFPB-2016-0025 1 CFPB dennise conley NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-169284 CFPB-2016-0025 1 CFPB isaac wiley NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163395 CFPB-2016-0025 1 CFPB audrey l love NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-164418 CFPB-2016-0025 1 CFPB robert weaver NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163334 CFPB-2016-0025 1 CFPB lisa fults NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-158370 CFPB-2016-0025 1 CFPB naomi king NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161526 CFPB-2016-0025 1 CFPB ashton coursey NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-158523 CFPB-2016-0025 1 CFPB billy ladd NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163742 CFPB-2016-0025 1 CFPB joshua phillips NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161760 CFPB-2016-0025 1 CFPB viven shannon NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163752 CFPB-2016-0025 1 CFPB gary staggs NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-158410 CFPB-2016-0025 1 CFPB jeffery moss NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161625 CFPB-2016-0025 1 CFPB heather lavoie NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-164954 CFPB-2016-0025 1 CFPB phillip hofstetter NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163474 CFPB-2016-0025 1 CFPB tinisha broadnax NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-162472 CFPB-2016-0025 1 CFPB clay storie NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-162048 CFPB-2016-0025 1 CFPB troy bradford NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-167325 CFPB-2016-0025 1 CFPB jerald king NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161763 CFPB-2016-0025 1 CFPB shelah spencer NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-167853 CFPB-2016-0025 1 CFPB michaela vileikis NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-168668 CFPB-2016-0025 1 CFPB sandra eddy NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163421 CFPB-2016-0025 1 CFPB rodney bowen NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161472 CFPB-2016-0025 1 CFPB ronald spencer NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-167185 CFPB-2016-0025 1 CFPB nikki rivers NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161835 CFPB-2016-0025 1 CFPB ireland white NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-165943 CFPB-2016-0025 1 CFPB john griffin NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161529 CFPB-2016-0025 1 CFPB laura johnson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-167082 CFPB-2016-0025 1 CFPB kristy herra NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-167857 CFPB-2016-0025 1 CFPB mary ingram NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161521 CFPB-2016-0025 1 CFPB elizabeth bean NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-164512 CFPB-2016-0025 1 CFPB anonymous anonymous NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-163405 CFPB-2016-0025 1 CFPB eric klean NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-158415 CFPB-2016-0025 1 CFPB ashley pierre NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-161530 CFPB-2016-0025 1 CFPB rhamadan ahmed NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-169380 CFPB-2016-0025 1 CFPB vincent ware NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules
1967 advance financial advance financial 1 Credit Union https://www.regulations.gov/document?D=CFPB-2016-0025-158365 CFPB-2016-0025 1 CFPB michelle watson NA advance financial NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA advance financial-Credit Union advance financial Credit Union NA NA 1967 NA NA CFPB Credit Union Payday Loan Rules

Commenters matched to other datasets of known organizations

# 2k
 paste("Credit Union matches: ", sum(!is.na(d$CreditUnions_name)) )
## [1] "Credit Union matches:  2291"
d %>% filter(!is.na(CreditUnions_name)) %>% dplyr::select(ends_with("name"), comment_url) %>% kablebox()
comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name FDIC_Institutions-bestMatch:STNAME org_name opensecrets_resources_name comment_url
ct health policy project ellen andrews NA northeastern ct health care NA NA NA NA NA NA northeastern ct health care NA northeastern ct health care NA https://www.regulations.gov/document?D=CFPB-2019-0022-14342
community bank iowa jay randall NA university iowa community NA NA NA NA NA NA university iowa community NA university iowa community NA https://www.regulations.gov/document?D=CFPB-2019-0021-0417
united states senate various NA united states senate NA NA NA NA NA NA united states senate NA united states senate NA https://www.regulations.gov/document?D=CFPB-2019-0022-0053
united states senate james risch NA united states senate NA NA NA NA NA NA united states senate NA united states senate NA https://www.regulations.gov/document?D=CFPB-2016-0025-211929
community choice community choice community choice NA community choice NA NA NA NA NA NA community choice NA community choice NA https://www.regulations.gov/document?D=CFPB-2016-0025-144135
advance financial richard buchanan NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144346
advance financial cornillo moreno NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144358
advance financial susana garcia mora NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144357
advance financial marvin rodriguez NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144355
advance financial juan enrique arias delgado NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144354
advance financial michael morgan NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144886
bethel ame church kenneth baker NA bethel ame church NA NA NA NA NA NA bethel ame church NA bethel ame church NA https://www.regulations.gov/document?D=CFPB-2016-0025-144915
brentwood baptist church rev carolyn pickens NA brentwood baptist church NA NA NA NA NA NA brentwood baptist church NA brentwood baptist church NA https://www.regulations.gov/document?D=CFPB-2016-0025-144894
advance financial mike lynn NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-144950
brentwood baptist church rev kevin williams NA brentwood baptist church NA NA NA NA NA NA brentwood baptist church NA brentwood baptist church NA https://www.regulations.gov/document?D=CFPB-2016-0025-144895
st mark ame church rev rethis murry NA st paul ame zion church NA NA NA NA NA NA st paul ame zion church NA st paul ame zion church NA https://www.regulations.gov/document?D=CFPB-2016-0025-144916
advance financial mary constocel NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145355
advance financial melissa jones NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145537
advance financial nigel gwan NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145534
advance financial matthew harvey NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145533
advance financial mary brown NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145620
advance financial christian beck NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145508
advance financial fernando bravo NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-145517
advance financial audrey jones NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154176
advance financial melissa richmond NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151959
advance financial allison wood NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-157596
advance financial josh jones NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154022
advance financial diego romero NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156841
advance financial jake trapp NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154813
advance financial shane hillman NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-157509
advance financial thomas peterson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150423
advance financial roger tanner NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150916
north side community federal credit union sarah marshall NA north side community NA NA NA NA NA NA north side community NA north side community NA https://www.regulations.gov/document?D=CFPB-2016-0025-148776
advance financial arturo villa NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156316
advance financial anonymous anonymous NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156631
advance financial shirley barnes NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-152220
advance financial miguel santo NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156221
advance financial janette smith NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156575
emerald credit union joe crawfis NA emerald credit union NA NA NA NA NA NA emerald credit union NA emerald credit union NA https://www.regulations.gov/document?D=CFPB-2016-0025-154340
abilene teachers federal credit union james boyd NA abilene teachers NA NA NA NA NA NA abilene teachers NA abilene teachers NA https://www.regulations.gov/document?D=CFPB-2016-0025-148822
advance financial janice vines NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156071
advance financial lonnie compton NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154827
advance financial ryan dunlap NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154780
advance financial ashley shepherd NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156607
advance financial paula steele NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-153158
advance financial michael tatham NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150849
advance financial howard frederick NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150837
advance financial ray dalton NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-152610
advance financial charles beltz NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154751
advance financial anonymous anonymous NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151449
unity catholic federal credit union brian mccue NA unity catholic NA NA NA NA NA NA unity catholic NA unity catholic NA https://www.regulations.gov/document?D=CFPB-2016-0025-154161
advance financial danaya stockard NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-153436
advance financial duina flores NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150798
advance financial melinda fultz NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-155206
advance financial phillip armstrong NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151619
advance financial nathan harris NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-153946
virginia credit union beverly rutherford NA virginia credit union NA NA NA NA NA NA virginia credit union NA virginia credit union NA https://www.regulations.gov/document?D=CFPB-2016-0025-148851
advance financial noe ortz NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-153776
advance financial david franklin NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151652
emerald credit union wendy driver NA emerald credit union NA NA NA NA NA NA emerald credit union NA emerald credit union NA https://www.regulations.gov/document?D=CFPB-2016-0025-156288
city commission brownsville texas john villarreal NA brownsville city employees NA NA NA NA NA NA brownsville city employees NA brownsville city employees NA https://www.regulations.gov/document?D=CFPB-2016-0025-154186
advance financial ash lavoie NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154815
advance financial michelle lavoie NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154812
advance financial amber trail NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151486
advance financial kimberly hassell NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154785
advance financial cary cook NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-155553
advance financial james westmoreland NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150392
advance financial jay tarter NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-151962
advance financial mark hall NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150836
advance financial jordan anderson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-157797
advance financial eric johnson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-156676
advance financial ashley elder NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-150408
advance financial imani joyner NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-154802
advance financial cynthia bryson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-169355
advance financial ismael lopez NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-169417
advance financial nathaniel brunson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-165015
advance financial basiru konta NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-164437
advance financial justin richardson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-169291
texas health resources anonymous anonymous NA texas health resources NA NA NA NA NA NA texas health resources NA texas health resources NA https://www.regulations.gov/document?D=CFPB-2016-0025-185034
advance financial april nelson NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-161694
advance financial johnny vince NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-161581
advance financial dennise conley NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-162868
advance financial isaac wiley NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-169284
advance financial audrey l love NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-163395
advance financial robert weaver NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-164418
advance financial lisa fults NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-163334
advance financial naomi king NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-158370
tarrant countys credit union lily newfarmer NA tarrant countys credit union NA NA NA NA NA NA tarrant countys credit union NA tarrant countys credit union NA https://www.regulations.gov/document?D=CFPB-2016-0025-170685
advance financial ashton coursey NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-161526
advance financial billy ladd NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-158523
advance financial joshua phillips NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-163742
advance financial viven shannon NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-161760
advance financial gary staggs NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-163752
advance financial jeffery moss NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-158410
advance financial heather lavoie NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-161625
advance financial phillip hofstetter NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-164954
cardinal credit union susan joseph NA cardinal credit union NA NA NA NA NA NA cardinal credit union NA cardinal credit union NA https://www.regulations.gov/document?D=CFPB-2016-0025-169813
advance financial tinisha broadnax NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-163474
advance financial clay storie NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-162472
advance financial troy bradford NA advance financial NA NA NA NA NA NA advance financial NA advance financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-162048
# 5k
 paste("CIK matches: ", sum(!is.na(d$CIK_name)) )
## [1] "CIK matches:  4646"
d %>% filter(!is.na(CIK_name)) %>% dplyr::select(ends_with("name"), comment_url)  %>% kablebox()
comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name FDIC_Institutions-bestMatch:STNAME org_name opensecrets_resources_name comment_url
troy capital rance willey troy capital partners NA NA NA NA NA NA NA troy capital partners NA troy capital partners NA https://www.regulations.gov/document?D=CFPB-2020-0010-0006
american financial services celia winslow american financial services NA NA NA NA NA NA NA american financial services NA american financial services NA https://www.regulations.gov/document?D=CFPB-2020-0010-0009
one true ohad samet one true NA NA NA NA NA NA NA one true NA one true NA https://www.regulations.gov/document?D=CFPB-2020-0010-0010
allied collection service steve stearns allied bond collection agency NA NA NA NA NA NA NA allied bond collection agency NA allied bond collection agency NA https://www.regulations.gov/document?D=CFPB-2019-0022-14321
select portfolio servicing mike kruger select portfolio servicing NA NA NA NA NA NA NA select portfolio servicing NA select portfolio servicing NA https://www.regulations.gov/document?D=CFPB-2019-0022-12078
gc services limited partnership brad batig gc central 12 limited partnership NA NA NA NA NA NA NA gc central 12 limited partnership NA gc central 12 limited partnership NA https://www.regulations.gov/document?D=CFPB-2019-0022-12101
troy capital rance willey troy capital partners NA NA NA NA NA NA NA troy capital partners NA troy capital partners NA https://www.regulations.gov/document?D=CFPB-2019-0022-12073
troy capital zackary willey troy capital partners NA NA NA NA NA NA NA troy capital partners NA troy capital partners NA https://www.regulations.gov/document?D=CFPB-2019-0022-12060
troy capital rance willey troy capital partners NA NA NA NA NA NA NA troy capital partners NA troy capital partners NA https://www.regulations.gov/document?D=CFPB-2019-0022-12072
rivers edge bank jenn bergsma estates rivers edge NA NA NA NA NA NA NA estates rivers edge NA estates rivers edge NA https://www.regulations.gov/document?D=CFPB-2019-0021-0473
client services carrie bextermueller private client services NA NA NA NA NA NA NA private client services NA private client services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9068
express recovery services amber peterson automotive recovery services NA NA NA NA NA NA NA automotive recovery services NA automotive recovery services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9152
check cash jake proffitt check cash NA NA NA NA NA NA NA check cash NA check cash NA https://www.regulations.gov/document?D=CFPB-2019-0022-9175
express recovery services amber peterson automotive recovery services NA NA NA NA NA NA NA automotive recovery services NA automotive recovery services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9142
dc 37 municipal employees legal services elizabeth perez municipal bond trust insured series 37 NA NA NA NA NA NA NA municipal bond trust insured series 37 NA municipal bond trust insured series 37 NA https://www.regulations.gov/document?D=CFPB-2019-0022-9607
americans financial reform education fund linda jun fresco capital education venture fund NA NA NA NA NA NA NA fresco capital education venture fund NA fresco capital education venture fund NA https://www.regulations.gov/document?D=CFPB-2019-0022-9553
american bar association judy perry martinez american bar association NA NA NA NA NA NA NA american bar association NA american bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9441
riverview law office pllc christina sandy pwa riverview office tower NA NA NA NA NA NA NA pwa riverview office tower NA pwa riverview office tower NA https://www.regulations.gov/document?D=CFPB-2019-0022-9509
progressive management systems yvonne garcia progressive angioplasty systems NA NA NA NA NA NA NA progressive angioplasty systems NA progressive angioplasty systems NA https://www.regulations.gov/document?D=CFPB-2019-0022-9546
new economy project sarah ludwig new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9531
credit world services kelli lowe heying avaya world services NA NA NA NA NA NA NA avaya world services NA avaya world services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9701
encore capital sheryl wright encore capital NA NA NA NA NA NA NA encore capital NA encore capital NA https://www.regulations.gov/document?D=CFPB-2019-0022-9590
bankers compliance consulting diane dean aegix compliance consulting NA NA NA NA NA NA NA aegix compliance consulting NA aegix compliance consulting NA https://www.regulations.gov/document?D=CFPB-2019-0021-0240
international bancshares dennis nixon international bancshares NA NA NA NA NA NA NA international bancshares NA international bancshares NA https://www.regulations.gov/document?D=CFPB-2019-0021-0246
missouri bankers association keith thornburg missouri bankers association NA NA NA NA NA NA NA missouri bankers association NA missouri bankers association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0339
ltd financial services david john blue financial services ltd adr NA NA NA NA NA NA NA blue financial services ltd adr NA blue financial services ltd adr NA https://www.regulations.gov/document?D=CFPB-2019-0022-1165
southern financial systems kimberly amacker southern contract systems NA NA NA NA NA NA NA southern contract systems NA southern contract systems NA https://www.regulations.gov/document?D=CFPB-2019-0022-6331
southern financial systems john jarrell southern contract systems NA NA NA NA NA NA NA southern contract systems NA southern contract systems NA https://www.regulations.gov/document?D=CFPB-2019-0022-6363
cedar financial alan fassonaki cedar hill financial services NA NA NA NA NA NA NA cedar hill financial services NA cedar hill financial services NA https://www.regulations.gov/document?D=CFPB-2019-0022-6976
realty associates bruce jolly associates realty NA NA NA NA NA NA NA associates realty NA associates realty NA https://www.regulations.gov/document?D=CFPB-2016-0038-1643
call center call center call center national call center NA NA NA NA NA NA NA national call center NA national call center NA https://www.regulations.gov/document?D=CFPB-2016-0025-211685
call center call center call center national call center NA NA NA NA NA NA NA national call center NA national call center NA https://www.regulations.gov/document?D=CFPB-2016-0025-211675
call center call center call center national call center NA NA NA NA NA NA NA national call center NA national call center NA https://www.regulations.gov/document?D=CFPB-2016-0025-211674
peoples mortgage michelle collins peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0009
peoples mortgage michael morgan peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0010
peoples mortgage jeff hanks peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0008
peoples mortgage phil solano peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0006
peoples mortgage andria joachims peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0013
peoples mortgage kyli clark peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0012
peoples mortgage kevin kerivan peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0014
peoples mortgage andy wilt peoples financial realty mortgage securities 20061 NA NA NA NA NA NA NA peoples financial realty mortgage securities 20061 NA peoples financial realty mortgage securities 20061 NA https://www.regulations.gov/document?D=CFPB-2017-0018-0017
union home mortgage kelley grealis union planters home equity NA NA NA NA NA NA NA union planters home equity NA union planters home equity NA https://www.regulations.gov/document?D=CFPB-2017-0018-0024
vanderbilt mortgage finance jacqueline mallett vanderbilt mortgage finance NA NA NA NA NA NA NA vanderbilt mortgage finance NA vanderbilt mortgage finance NA https://www.regulations.gov/document?D=CFPB-2017-0018-0032
fidelity finance mark mccaig united fidelity finance NA NA NA NA NA NA NA united fidelity finance NA united fidelity finance NA https://www.regulations.gov/document?D=CFPB-2016-0020-6468
national residential monica montgomery national residential nominee services NA NA NA NA NA NA NA national residential nominee services NA national residential nominee services NA https://www.regulations.gov/document?D=CFPB-2017-0018-0002
check cash na na check cash NA NA NA NA NA NA NA check cash NA check cash NA https://www.regulations.gov/document?D=CFPB-2016-0025-208722
dollar rent car palmdale lon mccracken dollar rent car NA NA NA NA NA NA NA dollar rent car NA dollar rent car NA https://www.regulations.gov/document?D=CFPB-2016-0020-6284
nevada auto sales mike bonicelli am auto sales NA NA NA NA NA NA NA am auto sales NA am auto sales NA https://www.regulations.gov/document?D=CFPB-2016-0020-6290
instant cash instant cash instant cash instant cash services NA NA NA NA NA NA NA instant cash services NA instant cash services NA https://www.regulations.gov/document?D=CFPB-2016-0025-144140
check cashing check cashing group check cashing buckeye check cashing NA NA NA NA NA NA NA buckeye check cashing NA buckeye check cashing NA https://www.regulations.gov/document?D=CFPB-2016-0025-144150
express check advance express check advance express check advance express check services NA NA NA NA NA NA NA express check services NA express check services NA https://www.regulations.gov/document?D=CFPB-2016-0025-144137
check cash check cash check cash check cash NA NA NA NA NA NA NA check cash NA check cash NA https://www.regulations.gov/document?D=CFPB-2016-0025-144133
mortgage resources marsha williams commercial mortgage resources NA NA NA NA NA NA NA commercial mortgage resources NA commercial mortgage resources NA https://www.regulations.gov/document?D=CFPB-2016-0038-1614
lender service cristina gilliam cirrus lender services NA NA NA NA NA NA NA cirrus lender services NA cirrus lender services NA https://www.regulations.gov/document?D=CFPB-2016-0038-1613
national association professional background screeners melissa sorenson corelogic national background data NA NA NA NA NA NA NA corelogic national background data NA corelogic national background data NA https://www.regulations.gov/document?D=CFPB-2016-0039-0009
meridian title patricia rosenbaum meridian title escrow NA NA NA NA NA NA NA meridian title escrow NA meridian title escrow NA https://www.regulations.gov/document?D=CFPB-2016-0038-1623
meridian title leisa boyd meridian title escrow NA NA NA NA NA NA NA meridian title escrow NA meridian title escrow NA https://www.regulations.gov/document?D=CFPB-2016-0038-1622
international bancshares dennis nixon international bancshares NA NA NA NA NA NA NA international bancshares NA international bancshares NA https://www.regulations.gov/document?D=CFPB-2016-0039-0012
american bar association linda klein american bar association NA NA NA NA NA NA NA american bar association NA american bar association NA https://www.regulations.gov/document?D=CFPB-2016-0039-0019
financial pathways piedmont program administrator piedmont financial co inc nc adv NA NA NA NA NA NA NA piedmont financial co inc nc adv NA piedmont financial co inc nc adv NA https://www.regulations.gov/document?D=CFPB-2016-0025-144200
dfc global lester firstenberger dfc global NA NA NA NA NA NA NA dfc global NA dfc global NA https://www.regulations.gov/document?D=CFPB-2016-0025-144769
temple bible church mulitple comments berean bible church NA NA NA NA NA NA NA berean bible church NA berean bible church NA https://www.regulations.gov/document?D=CFPB-2016-0025-144787
check cash d lynn devault check cash NA NA NA NA NA NA NA check cash NA check cash NA https://www.regulations.gov/document?D=CFPB-2016-0025-144941
new economy project anonymous anonymous new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-144901
new economy project 48 new yorkersnew jerseyans new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-145320
first data kim ford first data NA NA NA NA NA NA NA first data NA first data NA https://www.regulations.gov/document?D=CFPB-2016-0025-147178
payday loan sam hess payday loan NA NA NA NA NA NA NA payday loan NA payday loan NA https://www.regulations.gov/document?D=CFPB-2016-0025-147944
new economy project 27 new yorkers new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-146832
us eagle federal credit union marsha majors eagle point credit us NA NA NA NA NA NA NA eagle point credit us NA eagle point credit us NA https://www.regulations.gov/document?D=CFPB-2016-0025-147123
metropolitan church god in christ john coats gethsemane church god in christ NA NA NA NA NA NA NA gethsemane church god in christ NA gethsemane church god in christ NA https://www.regulations.gov/document?D=CFPB-2016-0025-148801
new economy project veronica raphael new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-146864
north carolina assets alliance donna gallagher alliancebernstein securitized assets fund cayman NA NA NA NA NA NA NA alliancebernstein securitized assets fund cayman NA alliancebernstein securitized assets fund cayman NA https://www.regulations.gov/document?D=CFPB-2016-0025-148831
chatham capital brian reynolds chatham capital NA NA NA NA NA NA NA chatham capital NA chatham capital NA https://www.regulations.gov/document?D=CFPB-2016-0025-148840
express advance lativa mcneil express cash advance NA NA NA NA NA NA NA express cash advance NA express cash advance NA https://www.regulations.gov/document?D=CFPB-2016-0025-148564
ag consultants robert guzman ag consultants NA NA NA NA NA NA NA ag consultants NA ag consultants NA https://www.regulations.gov/document?D=CFPB-2016-0025-148797
southern bancorp jennifer johnson southern bancorp NA NA NA NA NA NA NA southern bancorp NA southern bancorp NA https://www.regulations.gov/document?D=CFPB-2016-0025-147240
cng financial lindsay oak cng financial NA NA NA NA NA NA NA cng financial NA cng financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-158003
new economy project elina tatis new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-146838
new economy project johanna ketter new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-146841
crystal rock finance jose ramirez crystal rock fund NA NA NA NA NA NA NA crystal rock fund NA crystal rock fund NA https://www.regulations.gov/document?D=CFPB-2016-0025-154526
community choice financial bridgette roman community choice financial NA NA NA NA NA NA NA community choice financial NA community choice financial NA https://www.regulations.gov/document?D=CFPB-2016-0025-148842
new capital rosie papazian new capital NA NA NA NA NA NA NA new capital NA new capital NA https://www.regulations.gov/document?D=CFPB-2016-0025-157935
new economy project jess brooks new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-154329
new economy project marlene campos new economy project NA NA NA NA NA NA NA new economy project NA new economy project NA https://www.regulations.gov/document?D=CFPB-2016-0025-154343
international bancshares dennis nixon international bancshares NA NA NA NA NA NA NA international bancshares NA international bancshares NA https://www.regulations.gov/document?D=CFPB-2016-0025-148413
pacifica resource center anita rees pacifica city center NA NA NA NA NA NA NA pacifica city center NA pacifica city center NA https://www.regulations.gov/document?D=CFPB-2016-0025-157965
capital cash na na capital cash management trust NA NA NA NA NA NA NA capital cash management trust NA capital cash management trust NA https://www.regulations.gov/document?D=CFPB-2016-0025-158285
world acceptance anonymous anonymous world acceptance NA NA NA NA NA NA NA world acceptance NA world acceptance NA https://www.regulations.gov/document?D=CFPB-2016-0025-185032
office common council benito barrios qic ballston common office reit NA NA NA NA NA NA NA qic ballston common office reit NA qic ballston common office reit NA https://www.regulations.gov/document?D=CFPB-2016-0025-187770
cash in dash william strong cash in dash NA NA NA NA NA NA NA cash in dash NA cash in dash NA https://www.regulations.gov/document?D=CFPB-2016-0025-185146
state representative jd mesnard park dorothy d personal representative estate roy h park NA NA NA NA NA NA NA park dorothy d personal representative estate roy h park NA park dorothy d personal representative estate roy h park NA https://www.regulations.gov/document?D=CFPB-2016-0025-185045
harpeth financial anonymous anonymous harpeth financial services NA NA NA NA NA NA NA harpeth financial services NA harpeth financial services NA https://www.regulations.gov/document?D=CFPB-2016-0025-186582
factor trust anonymous anonymous diversified factor premia fund series panagora group trust NA NA NA NA NA NA NA diversified factor premia fund series panagora group trust NA diversified factor premia fund series panagora group trust NA https://www.regulations.gov/document?D=CFPB-2016-0025-186587
third coast federal credit union dan thorton heart texas hospice third coast NA NA NA NA NA NA NA heart texas hospice third coast NA heart texas hospice third coast NA https://www.regulations.gov/document?D=CFPB-2016-0025-185084
state utah house representatives john pfeiffer landrys seafood house utah NA NA NA NA NA NA NA landrys seafood house utah NA landrys seafood house utah NA https://www.regulations.gov/document?D=CFPB-2016-0025-185169
state denver colorado bill cadman summit group denver colorado NA NA NA NA NA NA NA summit group denver colorado NA summit group denver colorado NA https://www.regulations.gov/document?D=CFPB-2016-0025-187765
lamar advertising richard montgomery lamar advertising NA NA NA NA NA NA NA lamar advertising NA lamar advertising NA https://www.regulations.gov/document?D=CFPB-2016-0025-164441
state utah house representatives brad daw landrys seafood house utah NA NA NA NA NA NA NA landrys seafood house utah NA landrys seafood house utah NA https://www.regulations.gov/document?D=CFPB-2016-0025-185168
one detroit credit union hank hubbard radio one detroit NA NA NA NA NA NA NA radio one detroit NA radio one detroit NA https://www.regulations.gov/document?D=CFPB-2016-0025-170682
check cash anonymous anonymous check cash NA NA NA NA NA NA NA check cash NA check cash NA https://www.regulations.gov/document?D=CFPB-2016-0025-187768
# 1k
 paste("FDIC_Institutions matches: ", sum(!is.na(d$FDIC_Institutions_name)) )
## [1] "FDIC_Institutions matches:  2386"
d %>% filter(!is.na(FDIC_Institutions_name)) %>% dplyr::select(ends_with("name"), comment_url) %>% kablebox()
comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name FDIC_Institutions-bestMatch:STNAME org_name opensecrets_resources_name comment_url
state bank cross plains karen obrien NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0399
skyline national bank beth worrell NA NA skyline national bank NA NA NA NA NA skyline national bank Virginia skyline national bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0406
first state bank kathy weiss NA NA first state bank NA NA NA NA NA first state bank North Carolina first state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0413
county savings bank mark schreiber NA NA county savings bank NA NA NA NA NA county savings bank Pennsylvania county savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0416
citizens bank sherry behrends NA NA citizens bank NA NA NA NA NA citizens bank Alabama citizens bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0420
neffs national bank kevin schmidt NA NA neffs national bank NA NA NA NA NA neffs national bank Pennsylvania neffs national bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0398
flatirons bank kyle heckman NA NA flatirons bank NA NA NA NA NA flatirons bank Colorado flatirons bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0396
county savings bank sharon mcnult NA NA county savings bank NA NA NA NA NA county savings bank Pennsylvania county savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0391
state bank cross plains jim tubbs NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0402
county savings bank marianne graden NA NA county savings bank NA NA NA NA NA county savings bank Pennsylvania county savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0394
first state community bank donald thompson NA NA first state community bank NA NA NA NA NA first state community bank Missouri first state community bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0405
glenwood state bank linda young NA NA glenwood state bank NA NA NA NA NA glenwood state bank Iowa glenwood state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0407
denver savings bank karrie ryherd NA NA denver savings bank NA NA NA NA NA denver savings bank Iowa denver savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0415
county savings bank vonnie kearney NA NA county savings bank NA NA NA NA NA county savings bank Pennsylvania county savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0389
state bank cross plains sabrina mitchell NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0392
bank clarendon james ham NA NA bank clarendon NA NA NA NA NA bank clarendon South Carolina bank clarendon NA https://www.regulations.gov/document?D=CFPB-2019-0021-0403
jarrettsville federal savings loan lisa ruzicka NA NA jarrettsville federal savings loan association NA NA NA NA NA jarrettsville federal savings loan association Maryland jarrettsville federal savings loan association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0395
state bank cross plains beth mcnulty NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0409
farmers state bank steven stull NA NA farmers state bank NA NA NA NA NA farmers state bank Indiana farmers state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0390
first federal savings bank jon mancari NA NA first federal savings bank NA NA NA NA NA first federal savings bank Utah first federal savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0401
state bank cross plains rachel kleven NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0393
settlers bank eric walters NA NA settlers bank NA NA NA NA NA settlers bank Ohio settlers bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0404
city state bank alesia harlan NA NA city state bank NA NA NA NA NA city state bank Tennessee city state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0408
american bank andrew kostyal NA NA american bank NA NA NA NA NA american bank Oklahoma american bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0410
elysian bank jeff spitzack NA NA elysian bank NA NA NA NA NA elysian bank Minnesota elysian bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0414
austin bank texas national association brenda williams NA NA austin bank texas national association NA NA NA NA NA austin bank texas national association Texas austin bank texas national association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0387
credit one bank barbara hoerner NA NA credit one bank national association NA NA NA NA NA credit one bank national association Nevada credit one bank national association NA https://www.regulations.gov/document?D=CFPB-2019-0022-12102
bank st francisville erica stokes NA NA bank st francisville NA NA NA NA NA bank st francisville Louisiana bank st francisville NA https://www.regulations.gov/document?D=CFPB-2019-0021-0424
midfirst bank jason lane NA NA midfirst bank NA NA NA NA NA midfirst bank Oklahoma midfirst bank NA https://www.regulations.gov/document?D=CFPB-2019-0022-12091
state bank cross plains susan zander NA NA cross plains state bank NA NA NA NA NA cross plains state bank Indiana cross plains state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0427
fnb bank julie williams NA NA fnb bank NA NA NA NA NA fnb bank Iowa fnb bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0443
first southeast bank jessica aggen NA NA first southeast bank NA NA NA NA NA first southeast bank Minnesota first southeast bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0474
capital community bank julie fausett NA NA community capital bank NA NA NA NA NA community capital bank New York community capital bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0475
chelsea state bank dawn kalusha NA NA chelsea state bank NA NA NA NA NA chelsea state bank Michigan chelsea state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0467
first southeast bank kaila case NA NA first southeast bank NA NA NA NA NA first southeast bank Minnesota first southeast bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0476
first southeast bank debra skaalen NA NA first southeast bank NA NA NA NA NA first southeast bank Minnesota first southeast bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0468
bendena state bank brooke waggoner NA NA bendena state bank NA NA NA NA NA bendena state bank Kansas bendena state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0464
hnb national bank kevin jaquet NA NA hnb national bank NA NA NA NA NA hnb national bank Missouri hnb national bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0480
edgewater bank babette smith NA NA edgewater bank NA NA NA NA NA edgewater bank Michigan edgewater bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0461
fowler state bank kassey budreau NA NA fowler state bank NA NA NA NA NA fowler state bank Indiana fowler state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0477
main bank alan shettlesworth NA NA main bank NA NA NA NA NA main bank New Mexico main bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0458
united farmers state bank lisa boe NA NA united farmers state bank NA NA NA NA NA united farmers state bank Minnesota united farmers state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0482
glenwood state bank susan diercks NA NA glenwood state bank NA NA NA NA NA glenwood state bank Iowa glenwood state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0490
hicksville bank greg smitley NA NA hicksville bank NA NA NA NA NA hicksville bank Ohio hicksville bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0469
security savings bank mindy swieter NA NA security savings bank NA NA NA NA NA security savings bank Iowa security savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0485
first southeast bank christopher skaalen NA NA first southeast bank NA NA NA NA NA first southeast bank Minnesota first southeast bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0466
valley premier bank bruce tellefson NA NA valley premier bank NA NA NA NA NA valley premier bank Minnesota valley premier bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0465
security savings bank brad lane NA NA security savings bank NA NA NA NA NA security savings bank Iowa security savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0463
security savings bank kent peterson NA NA security savings bank NA NA NA NA NA security savings bank Iowa security savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0479
first capital bank barbara melton NA NA first capital bank NA NA NA NA NA first capital bank Oklahoma first capital bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0460
lead bank kim appel NA NA lead bank NA NA NA NA NA lead bank Missouri lead bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0481
edison national bank shristina depari NA NA edison national bank NA NA NA NA NA edison national bank Florida edison national bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0489
wood huston bank mark thompson NA NA wood huston bank NA NA NA NA NA wood huston bank Missouri wood huston bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0484
pioneer bank trust jeb clarkson NA NA pioneer bank trust NA NA NA NA NA pioneer bank trust Oklahoma pioneer bank trust NA https://www.regulations.gov/document?D=CFPB-2019-0021-0472
reliance savings bank barton hann NA NA reliance savings bank NA NA NA NA NA reliance savings bank Wisconsin reliance savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0462
crossroads bank kathryn jones NA NA crossroads bank NA NA NA NA NA crossroads bank Texas crossroads bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0478
castroville state bank scott tschirhart NA NA castroville state bank NA NA NA NA NA castroville state bank Texas castroville state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0488
cumberland valley national bank lisa robbins NA NA cumberland valley national bank trust NA NA NA NA NA cumberland valley national bank trust Kentucky cumberland valley national bank trust NA https://www.regulations.gov/document?D=CFPB-2019-0021-0483
first southeast bank james skaalen NA NA first southeast bank NA NA NA NA NA first southeast bank Minnesota first southeast bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0471
north cambridge cooperative bank tracy king NA NA north cambridge cooperative bank NA NA NA NA NA north cambridge cooperative bank Massachusetts north cambridge cooperative bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0491
charter bank reik lemay NA NA charter bank NA NA NA NA NA charter bank Michigan charter bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0487
dedicated community bank james lvey NA NA dedicated community bank NA NA NA NA NA dedicated community bank South Carolina dedicated community bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0470
sycamore bank paul embrey NA NA sycamore bank NA NA NA NA NA sycamore bank Mississippi sycamore bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0486
port richmond savings dianne haywood NA NA port richmond savings NA NA NA NA NA port richmond savings Pennsylvania port richmond savings NA https://www.regulations.gov/document?D=CFPB-2019-0021-0554
security savings bank donna lambert NA NA security savings bank NA NA NA NA NA security savings bank Iowa security savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0555
sherwood state bank brian miller NA NA sherwood state bank NA NA NA NA NA sherwood state bank Ohio sherwood state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0548
ks bank marilyn logan NA NA ks bank NA NA NA NA NA ks bank North Carolina ks bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0585
ks bank emily rhodes NA NA ks bank NA NA NA NA NA ks bank North Carolina ks bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0556
mi bank cindy strich NA NA mi bank NA NA NA NA NA mi bank Wisconsin mi bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0549
fowler state bank steve brunton NA NA fowler state bank NA NA NA NA NA fowler state bank Indiana fowler state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0600
chelsea state bank mark burmis NA NA chelsea state bank NA NA NA NA NA chelsea state bank Michigan chelsea state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0586
pine river state bank kirsten eggena NA NA pine river state bank NA NA NA NA NA pine river state bank Minnesota pine river state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0577
wahoo state bank greg hohl NA NA wahoo state bank NA NA NA NA NA wahoo state bank Nebraska wahoo state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0557
community first bank melissa wanek NA NA first community bank NA NA NA NA NA first community bank Montana first community bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0588
dakota community bank trust jason hopfauf NA NA dakota community bank trust national association NA NA NA NA NA dakota community bank trust national association North Dakota dakota community bank trust national association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0608
monroe savings bank theresa bruninghaus NA NA monroe savings bank NA NA NA NA NA monroe savings bank New Jersey monroe savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0601
buena vista national bank mary sulser NA NA buena vista national bank NA NA NA NA NA buena vista national bank Illinois buena vista national bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0587
bank newman grove patrick gerhart NA NA bank newman grove NA NA NA NA NA bank newman grove Nebraska bank newman grove NA https://www.regulations.gov/document?D=CFPB-2019-0021-0592
ks bank harold keen NA NA ks bank NA NA NA NA NA ks bank North Carolina ks bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0558
chelsea state bank dawn kalusha NA NA chelsea state bank NA NA NA NA NA chelsea state bank Michigan chelsea state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0552
summit bank margaret tibbets NA NA summit bank NA NA NA NA NA summit bank Washington summit bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0583
lumbee guaranty bank kate smith NA NA lumbee guaranty bank NA NA NA NA NA lumbee guaranty bank North Carolina lumbee guaranty bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0575
lafayette state bank jim esry NA NA lafayette state bank NA NA NA NA NA lafayette state bank Florida lafayette state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0567
muenster state bank robert weinzapfel NA NA muenster state bank NA NA NA NA NA muenster state bank Texas muenster state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0597
farmers state bank jennifer beard NA NA farmers state bank NA NA NA NA NA farmers state bank Indiana farmers state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0564
fowler state bank rick mickle NA NA fowler state bank NA NA NA NA NA fowler state bank Indiana fowler state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0596
first minnetonka city bank kurt wilkowske NA NA first minnetonka city bank NA NA NA NA NA first minnetonka city bank Minnesota first minnetonka city bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0579
farmers state bank hamel tom screeden NA NA farmers state bank hamel NA NA NA NA NA farmers state bank hamel Minnesota farmers state bank hamel NA https://www.regulations.gov/document?D=CFPB-2019-0021-0604
harleysville bank denise monaghan NA NA harleysville savings bank NA NA NA NA NA harleysville savings bank Pennsylvania harleysville savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0553
port richmond savings sidney smith NA NA port richmond savings NA NA NA NA NA port richmond savings Pennsylvania port richmond savings NA https://www.regulations.gov/document?D=CFPB-2019-0021-0599
security savings bank kathy carlson NA NA security savings bank NA NA NA NA NA security savings bank Iowa security savings bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0576
ks bank tracy nckinley NA NA ks bank NA NA NA NA NA ks bank North Carolina ks bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0610
citizens state bank lora boeckenstedt NA NA citizens state bank NA NA NA NA NA citizens state bank Oklahoma citizens state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0582
dakota community bank trust joy kitzan NA NA dakota community bank trust national association NA NA NA NA NA dakota community bank trust national association North Dakota dakota community bank trust national association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0574
chelsea state bank jessica stubbs NA NA chelsea state bank NA NA NA NA NA chelsea state bank Michigan chelsea state bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0566
citizens alliance bank john gill NA NA citizens alliance bank NA NA NA NA NA citizens alliance bank Minnesota citizens alliance bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0568
elysian bank jeff spitzack NA NA elysian bank NA NA NA NA NA elysian bank Minnesota elysian bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0563
dakota community bank trust na rhonda starck NA NA dakota community bank trust national association NA NA NA NA NA dakota community bank trust national association North Dakota dakota community bank trust national association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0595
ks bank timothy taylor NA NA ks bank NA NA NA NA NA ks bank North Carolina ks bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0603
tricounty trust shannon damron NA NA tricounty trust NA NA NA NA NA tricounty trust Missouri tricounty trust NA https://www.regulations.gov/document?D=CFPB-2019-0021-0598
# 0
 paste("FFIECInstitutions matches: ", sum(!is.na(d$FFIECInstitutions_name)) )
## [1] "FFIECInstitutions matches:  0"
#d %>% filter(!is.na(FFIECInstitutions_name)) %>% dplyr::select(ends_with("name")) %>% kablebox()

# 18k
 paste("NonProfitTax matches: ", sum(!is.na(d$nonprofits_resources_name)) )
## [1] "NonProfitTax matches:  7647"
d %>% filter(!is.na(nonprofits_resources_name)) %>% dplyr::select(ends_with("name"), comment_url) %>% kablebox()
comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name FDIC_Institutions-bestMatch:STNAME org_name opensecrets_resources_name comment_url
missouri creditors bar joy jackson NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2020-0010-0021
aca international leah dempsey NA NA NA NA NA NA aca international NA aca international NA aca international NA https://www.regulations.gov/document?D=CFPB-2020-0010-0025
consumer relations consortium stephanie eidelman NA NA NA NA NA NA american muslim consumer consortium NA american muslim consumer consortium NA american muslim consumer consortium NA https://www.regulations.gov/document?D=CFPB-2020-0010-0007
credit systems susan skovgaard NA NA NA NA NA NA health systems credit union NA health systems credit union NA health systems credit union NA https://www.regulations.gov/document?D=CFPB-2019-0022-12044
legal services elderly jill randall NA NA NA NA NA NA legal services elderly NA legal services elderly NA legal services elderly NA https://www.regulations.gov/document?D=CFPB-2019-0022-12051
better markets andrew bunker NA NA NA NA NA NA better markets NA better markets NA better markets NA https://www.regulations.gov/document?D=CFPB-2019-0022-12055
community legal aid society colten fleu NA NA NA NA NA NA community legal aid society NA community legal aid society NA community legal aid society NA https://www.regulations.gov/document?D=CFPB-2019-0022-12042
new york state department financial services eugene frenkel NA NA NA NA NA NA department new york ladies auxiliary veterans NA department new york ladies auxiliary veterans NA department new york ladies auxiliary veterans NA https://www.regulations.gov/document?D=CFPB-2019-0022-12052
kansas counselors scott tacke NA NA NA NA NA NA arkansas mental health counselors association NA arkansas mental health counselors association NA arkansas mental health counselors association NA https://www.regulations.gov/document?D=CFPB-2019-0022-12041
maryland consumer rights coalition maceline white NA NA NA NA NA NA maryland consumer rights coalition NA maryland consumer rights coalition NA maryland consumer rights coalition NA https://www.regulations.gov/document?D=CFPB-2019-0022-12050
legal aid nebraska jennifer gaughan NA NA NA NA NA NA legal aid nebraska NA legal aid nebraska NA legal aid nebraska NA https://www.regulations.gov/document?D=CFPB-2019-0022-12089
western new york law center matthew parham NA NA NA NA NA NA western new york law center NA western new york law center NA western new york law center NA https://www.regulations.gov/document?D=CFPB-2019-0022-12080
bay area legal aid ofra pleban NA NA NA NA NA NA bay area legal aid NA bay area legal aid NA bay area legal aid NA https://www.regulations.gov/document?D=CFPB-2019-0022-12075
missouri faith voices rev dr cassandra gould NA NA NA NA NA NA missouri faith voices NA missouri faith voices NA missouri faith voices NA https://www.regulations.gov/document?D=CFPB-2019-0022-12070
legal aid society san diego joe villaseñor NA NA NA NA NA NA legal aid society san diego NA legal aid society san diego NA legal aid society san diego NA https://www.regulations.gov/document?D=CFPB-2019-0022-12088
minnesota credit union network timothy tacheny NA NA NA NA NA NA minnesota credit union network NA minnesota credit union network NA minnesota credit union network NA https://www.regulations.gov/document?D=CFPB-2019-0022-12062
virginia poverty law center jay speer NA NA NA NA NA NA virginia poverty law center NA virginia poverty law center NA virginia poverty law center NA https://www.regulations.gov/document?D=CFPB-2019-0022-12090
maryland consumers marceline white NA NA NA NA NA NA funeral consumers alliance maryland environs NA funeral consumers alliance maryland environs NA funeral consumers alliance maryland environs NA https://www.regulations.gov/document?D=CFPB-2019-0022-12081
conference state bank supervisors joey samowitz NA NA NA NA NA NA conference state bank supervisors NA conference state bank supervisors NA conference state bank supervisors NA https://www.regulations.gov/document?D=CFPB-2019-0022-12087
maryland consumers marceline white NA NA NA NA NA NA funeral consumers alliance maryland environs NA funeral consumers alliance maryland environs NA funeral consumers alliance maryland environs NA https://www.regulations.gov/document?D=CFPB-2019-0022-12082
american bankers association trenea everett NA NA NA NA NA NA american bankers association NA american bankers association NA american bankers association NA https://www.regulations.gov/document?D=CFPB-2019-0022-12061
better markets andrew bunker NA NA NA NA NA NA better markets NA better markets NA better markets NA https://www.regulations.gov/document?D=CFPB-2019-0022-12059
national center law economic justice claudia wilner NA NA NA NA NA NA national center law economic justice NA national center law economic justice NA national center law economic justice NA https://www.regulations.gov/document?D=CFPB-2019-0022-12097
congress united states various NA NA NA NA NA NA united states bowing congress NA united states bowing congress NA united states bowing congress NA https://www.regulations.gov/document?D=CFPB-2019-0022-12107
heritage bank division heritage southeast bank andrea burkett NA NA NA NA NA NA southeast colorado regional heritage taskforce NA southeast colorado regional heritage taskforce NA southeast colorado regional heritage taskforce NA https://www.regulations.gov/document?D=CFPB-2019-0021-0459
republic bank az jonatha olson NA NA NA NA NA NA bridging az furniture bank NA bridging az furniture bank NA bridging az furniture bank NA https://www.regulations.gov/document?D=CFPB-2019-0021-0569
montana independent bankers james brown NA NA NA NA NA NA montana independent bankers NA montana independent bankers NA montana independent bankers NA https://www.regulations.gov/document?D=CFPB-2019-0021-0560
beacon community bank lisa jameson NA NA NA NA NA NA beacon community foundation NA beacon community foundation NA beacon community foundation NA https://www.regulations.gov/document?D=CFPB-2019-0021-0652
massachusetts affordable housing alliance anonymous anonymous NA NA NA NA NA NA massachusetts affordable housing alliance NA massachusetts affordable housing alliance NA massachusetts affordable housing alliance NA https://www.regulations.gov/document?D=CFPB-2019-0021-0663
community bankers michigan michael tierney NA NA NA NA NA NA community bankers michigan NA community bankers michigan NA community bankers michigan NA https://www.regulations.gov/document?D=CFPB-2019-0021-0705
american bankers association anonymous anonymous NA NA NA NA NA NA american bankers association NA american bankers association NA american bankers association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0674
american bankers association rod alba NA NA NA NA NA NA american bankers association NA american bankers association NA american bankers association NA https://www.regulations.gov/document?D=CFPB-2019-0021-0675
texas appleseed melissa sloan NA NA NA NA NA NA texas appleseed NA texas appleseed NA texas appleseed NA https://www.regulations.gov/document?D=CFPB-2019-0021-0683
pittsburgh community reinvestment ernest hogan NA NA NA NA NA NA pittsburgh community reinvestment NA pittsburgh community reinvestment NA pittsburgh community reinvestment NA https://www.regulations.gov/document?D=CFPB-2019-0021-0686
heartland credit union association brad douglas NA NA NA NA NA NA heartland credit union NA heartland credit union NA heartland credit union NA https://www.regulations.gov/document?D=CFPB-2019-0021-0687
aca international leah dempsey NA NA NA NA NA NA aca international NA aca international NA aca international NA https://www.regulations.gov/document?D=CFPB-2019-0022-12112
kentucky equal justice center betsy stone NA NA NA NA NA NA florida equal justice center NA florida equal justice center NA florida equal justice center NA https://www.regulations.gov/document?D=CFPB-2019-0022-8552
institute college access success michele streeter NA NA NA NA NA NA institute college access success NA institute college access success NA institute college access success NA https://www.regulations.gov/document?D=CFPB-2019-0022-8564
professional finance nicholas prola NA NA NA NA NA NA california asian insurance finance professional association NA california asian insurance finance professional association NA california asian insurance finance professional association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9193
new jersey creditors bar association lauren keating NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9171
statewide poverty action network jay doran NA NA NA NA NA NA minnesota statewide family network NA minnesota statewide family network NA minnesota statewide family network NA https://www.regulations.gov/document?D=CFPB-2019-0022-9370
commercial law league america kerrick daniel NA NA NA NA NA NA commercial law league america NA commercial law league america NA commercial law league america NA https://www.regulations.gov/document?D=CFPB-2019-0022-9362
national reverse mortgage lenders association steve irwin NA NA NA NA NA NA national reverse mortgage lenders association NA national reverse mortgage lenders association NA national reverse mortgage lenders association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9246
heartland credit union association brad douglas NA NA NA NA NA NA heartland credit union NA heartland credit union NA heartland credit union NA https://www.regulations.gov/document?D=CFPB-2019-0022-9216
indiana legal services jon laramore NA NA NA NA NA NA indiana legal services NA indiana legal services NA indiana legal services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9244
national installment lenders association geoffrey gradler NA NA NA NA NA NA national installment lenders association NA national installment lenders association NA national installment lenders association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9361
state new york department financial services linda lacewell NA NA NA NA NA NA department new york ladies auxiliary veterans NA department new york ladies auxiliary veterans NA department new york ladies auxiliary veterans NA https://www.regulations.gov/document?D=CFPB-2019-0022-12110
empower missouri jeanette mott oxford NA NA NA NA NA NA empower missouri NA empower missouri NA empower missouri NA https://www.regulations.gov/document?D=CFPB-2019-0022-9669
legal action wisconsin jessica roulette NA NA NA NA NA NA legal action wisconsin NA legal action wisconsin NA legal action wisconsin NA https://www.regulations.gov/document?D=CFPB-2019-0022-9485
faith credit roundtable sekinah hamlin NA NA NA NA NA NA faith community united credit union NA faith community united credit union NA faith community united credit union NA https://www.regulations.gov/document?D=CFPB-2019-0022-9396
consumer bankers association stephen congdon NA NA NA NA NA NA consumer bankers association NA consumer bankers association NA consumer bankers association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9630
national creditors bar association yale levy NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9603
maryland consumer rights coalition marceline white NA NA NA NA NA NA maryland consumer rights coalition NA maryland consumer rights coalition NA maryland consumer rights coalition NA https://www.regulations.gov/document?D=CFPB-2019-0022-9679
public citizen bartlett naylor NA NA NA NA NA NA public citizen NA public citizen NA public citizen NA https://www.regulations.gov/document?D=CFPB-2019-0022-9643
southern poverty law center chandra foster NA NA NA NA NA NA southern poverty law center NA southern poverty law center NA southern poverty law center NA https://www.regulations.gov/document?D=CFPB-2019-0022-9632
virginia creditors bar association william moore NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9552
bank policy institute naeha prakash NA NA NA NA NA NA connecticut policy institute NA connecticut policy institute NA connecticut policy institute NA https://www.regulations.gov/document?D=CFPB-2019-0022-9610
consumer relations consortium stephanie eidelman NA NA NA NA NA NA american muslim consumer consortium NA american muslim consumer consortium NA american muslim consumer consortium NA https://www.regulations.gov/document?D=CFPB-2019-0022-9633
montana legal services association beth hayes NA NA NA NA NA NA montana legal services association NA montana legal services association NA montana legal services association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9612
aca international leah dempsey NA NA NA NA NA NA aca international NA aca international NA aca international NA https://www.regulations.gov/document?D=CFPB-2019-0022-9666
community associations institute dawn bauman NA NA NA NA NA NA community associations institute NA community associations institute NA community associations institute NA https://www.regulations.gov/document?D=CFPB-2019-0022-9579
pro seniors miriam sheline NA NA NA NA NA NA pro seniors NA pro seniors NA pro seniors NA https://www.regulations.gov/document?D=CFPB-2019-0022-9635
new jersey citizen action beverly brown ruggia NA NA NA NA NA NA citizen action new jersey NA citizen action new jersey NA citizen action new jersey NA https://www.regulations.gov/document?D=CFPB-2019-0022-9390
national independent automobile dealers association shaun petersen NA NA NA NA NA NA national independent automobile dealers association foundation NA national independent automobile dealers association foundation NA national independent automobile dealers association foundation NA https://www.regulations.gov/document?D=CFPB-2019-0022-9398
cornerstone credit union league suzanne yashewski NA NA NA NA NA NA cornerstone credit union league NA cornerstone credit union league NA cornerstone credit union league NA https://www.regulations.gov/document?D=CFPB-2019-0022-9688
montana organizing project genoa carver NA NA NA NA NA NA montana hope project NA montana hope project NA montana hope project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9616
consumers research NA NA NA NA NA NA NA consumers research NA consumers research NA consumers research NA https://www.regulations.gov/document?D=CFPB-2019-0022-9580
greater boston legal services nadine cohen NA NA NA NA NA NA greater boston legal services NA greater boston legal services NA greater boston legal services NA https://www.regulations.gov/document?D=CFPB-2019-0022-9601
colorado center on law policy sara lipowitz NA NA NA NA NA NA colorado center on law policy NA colorado center on law policy NA colorado center on law policy NA https://www.regulations.gov/document?D=CFPB-2019-0022-9577
wisconsin public interest research group wispirg peter skopec NA NA NA NA NA NA wisconsin public interest research NA wisconsin public interest research NA wisconsin public interest research NA https://www.regulations.gov/document?D=CFPB-2019-0022-9408
missouri creditors bar david weimer NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9494
public law center leigh ferrin NA NA NA NA NA NA public law center NA public law center NA public law center NA https://www.regulations.gov/document?D=CFPB-2019-0022-9658
new mexico center on law poverty lindsay cutler NA NA NA NA NA NA new mexico center on law poverty NA new mexico center on law poverty NA new mexico center on law poverty NA https://www.regulations.gov/document?D=CFPB-2019-0022-9554
florida creditors bar association alison walters NA NA NA NA NA NA florida creditors bar association NA florida creditors bar association NA florida creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9583
american legal financial network john hearn NA NA NA NA NA NA american legal financial network NA american legal financial network NA american legal financial network NA https://www.regulations.gov/document?D=CFPB-2019-0022-9555
north carolina creditors bar association caren enloe NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9698
center survivor agency justice yvette butler NA NA NA NA NA NA center survivor agency andjustice NA center survivor agency andjustice NA center survivor agency andjustice NA https://www.regulations.gov/document?D=CFPB-2019-0022-9528
nyc department consumer affairs lorelei salas NA NA NA NA NA NA nyc department sanitation retirees NA nyc department sanitation retirees NA nyc department sanitation retirees NA https://www.regulations.gov/document?D=CFPB-2019-0022-9560
true sky credit union sean cahill NA NA NA NA NA NA true sky credit union NA true sky credit union NA true sky credit union NA https://www.regulations.gov/document?D=CFPB-2019-0022-9537
asset building policy network emanuel nieves NA NA NA NA NA NA asset building network NA asset building network NA asset building network NA https://www.regulations.gov/document?D=CFPB-2019-0022-9395
montana organizing project katie sutton NA NA NA NA NA NA montana hope project NA montana hope project NA montana hope project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9588
coalition higher education assistance organizations anonymous anonymous NA NA NA NA NA NA coalition higher education assistance organizations NA coalition higher education assistance organizations NA coalition higher education assistance organizations NA https://www.regulations.gov/document?D=CFPB-2019-0022-9400
legal services new jersey anonymous anonymous NA NA NA NA NA NA legal services new jersey NA legal services new jersey NA legal services new jersey NA https://www.regulations.gov/document?D=CFPB-2019-0022-9683
montana organizing project montana comments NA NA NA NA NA NA montana hope project NA montana hope project NA montana hope project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9581
maine center economic policy jody harris NA NA NA NA NA NA maine center economic policy NA maine center economic policy NA maine center economic policy NA https://www.regulations.gov/document?D=CFPB-2019-0022-9690
georgia watch liz coyle NA NA NA NA NA NA georgia watch NA georgia watch NA georgia watch NA https://www.regulations.gov/document?D=CFPB-2019-0022-9608
national employment law project judith conti NA NA NA NA NA NA national employment law project NA national employment law project NA national employment law project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9699
legal aid center southern nevada anonymous anonymous NA NA NA NA NA NA legal aid center southern nevada NA legal aid center southern nevada NA legal aid center southern nevada NA https://www.regulations.gov/document?D=CFPB-2019-0022-9582
montana organizing project tammy mehlhaff NA NA NA NA NA NA montana hope project NA montana hope project NA montana hope project NA https://www.regulations.gov/document?D=CFPB-2019-0022-9615
pennsylvania creditors bar association brit suttell NA NA NA NA NA NA california creditors bar association NA california creditors bar association NA california creditors bar association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9639
ohio creditors attorneys association fredric kannensohn NA NA NA NA NA NA ohio creditors attorneys association NA ohio creditors attorneys association NA ohio creditors attorneys association NA https://www.regulations.gov/document?D=CFPB-2019-0022-9567
community financial services association america chrys lemon NA NA NA NA NA NA adventist community services north america NA adventist community services north america NA adventist community services north america NA https://www.regulations.gov/document?D=CFPB-2019-0022-9483
state colorado department law philip weiser NA NA NA NA NA NA veterans foreign wars department colorado NA veterans foreign wars department colorado NA veterans foreign wars department colorado NA https://www.regulations.gov/document?D=CFPB-2019-0022-9573
illinois asset building jody chong NA NA NA NA NA NA asset building network NA asset building network NA asset building network NA https://www.regulations.gov/document?D=CFPB-2019-0022-9574
mountain state justice anonymous anonymous NA NA NA NA NA NA mountain state justice NA mountain state justice NA mountain state justice NA https://www.regulations.gov/document?D=CFPB-2019-0022-9599
maine equal justice michael kebede NA NA NA NA NA NA maine equal justice partners NA maine equal justice partners NA maine equal justice partners NA https://www.regulations.gov/document?D=CFPB-2019-0022-9611
african american historical society mae breckenridge NA NA NA NA NA NA african american historical society portsmouth NA african american historical society portsmouth NA african american historical society portsmouth NA https://www.regulations.gov/document?D=CFPB-2019-0022-9654
national association consumer advocates anonymous anonymous NA NA NA NA NA NA national association consumer advocates NA national association consumer advocates NA national association consumer advocates NA https://www.regulations.gov/document?D=CFPB-2019-0022-9543
student loan servicing alliance anonymous anonymous NA NA NA NA NA NA student loan servicing alliance NA student loan servicing alliance NA student loan servicing alliance NA https://www.regulations.gov/document?D=CFPB-2019-0022-9561
consumer federation america susan grant NA NA NA NA NA NA consumer federation america NA consumer federation america NA consumer federation america NA https://www.regulations.gov/document?D=CFPB-2019-0022-9589
# 4k
 paste("OpenSecrets matches: ", sum(!is.na(d$opensecrets_resources_name)) )
## [1] "OpenSecrets matches:  4382"
d %>% filter(!is.na(opensecrets_resources_name)) %>% dplyr::select(ends_with("name"), comment_url) %>% kablebox()
comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name FDIC_Institutions-bestMatch:STNAME org_name opensecrets_resources_name comment_url
alaska federal credit union amie keirn NA NA NA NA NA NA NA alaska usa federal credit union alaska usa federal credit union NA alaska usa federal credit union alaska usa federal credit union https://www.regulations.gov/document?D=CFPB-2019-0022-12056
truliant federal credit union atticus simpson NA NA NA NA NA NA NA truliant federal credit union truliant federal credit union NA truliant federal credit union truliant federal credit union https://www.regulations.gov/document?D=CFPB-2019-0022-12103
apex asset management john kline NA NA NA NA NA NA NA apex asset management apex asset management NA apex asset management apex asset management https://www.regulations.gov/document?D=CFPB-2019-0022-9696
libertarian party stinky mcshploogooli NA NA NA NA NA NA NA libertarian party libertarian party NA libertarian party libertarian party https://www.regulations.gov/document?D=CFPB-2019-0021-0376
keller williams realty alice lebkuecher NA NA NA NA NA NA NA keller williams realty keller williams realty NA keller williams realty keller williams realty https://www.regulations.gov/document?D=CFPB-2016-0038-1645
keller williams realty marcy bennett NA NA NA NA NA NA NA keller williams realty keller williams realty NA keller williams realty keller williams realty https://www.regulations.gov/document?D=CFPB-2016-0038-1637
ebby halliday realtors meredith held NA NA NA NA NA NA NA ebby halliday realtors ebby halliday realtors NA ebby halliday realtors ebby halliday realtors https://www.regulations.gov/document?D=CFPB-2016-0038-1635
colorado state university bill ritter jr NA NA NA NA NA NA NA colorado state university colorado state university NA colorado state university colorado state university https://www.regulations.gov/document?D=CFPB-2016-0025-211869
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-211871
florida house representatives davie eagle NA NA NA NA NA NA NA florida house representatives florida house representatives NA florida house representatives florida house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-211880
alaska usa federal credit union dan mccue NA NA NA NA NA NA NA alaska usa federal credit union alaska usa federal credit union NA alaska usa federal credit union alaska usa federal credit union https://www.regulations.gov/document?D=CFPB-2017-0018-0047
california state senate bob wieckowski NA NA NA NA NA NA NA california state senate california state senate NA california state senate california state senate https://www.regulations.gov/document?D=CFPB-2016-0020-6452
bethpage federal credit union wayne grosse NA NA NA NA NA NA NA bethpage federal credit union bethpage federal credit union NA bethpage federal credit union bethpage federal credit union https://www.regulations.gov/document?D=CFPB-2016-0020-6450
americans financial reform lisa donner NA NA NA NA NA NA NA americans financial reform americans financial reform NA americans financial reform americans financial reform https://www.regulations.gov/document?D=CFPB-2016-0025-208914
mississippi house representatives michael evans NA NA NA NA NA NA NA mississippi house representatives mississippi house representatives NA mississippi house representatives mississippi house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208725
florida senate jack latvala NA NA NA NA NA NA NA florida state senate florida state senate NA florida state senate florida state senate https://www.regulations.gov/document?D=CFPB-2016-0025-208728
mississippi state senate willie simmons NA NA NA NA NA NA NA mississippi state senate mississippi state senate NA mississippi state senate mississippi state senate https://www.regulations.gov/document?D=CFPB-2016-0025-208729
mississippi house representatives kathy sykes NA NA NA NA NA NA NA mississippi house representatives mississippi house representatives NA mississippi house representatives mississippi house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208734
wisconsin state assembly robin vos NA NA NA NA NA NA NA wisconsin state assembly wisconsin state assembly NA wisconsin state assembly wisconsin state assembly https://www.regulations.gov/document?D=CFPB-2016-0025-208738
mississippi state senate charles younger NA NA NA NA NA NA NA mississippi state senate mississippi state senate NA mississippi state senate mississippi state senate https://www.regulations.gov/document?D=CFPB-2016-0025-208744
house representatives state south carolina samuel rivers jr NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208736
house representatives state south carolina mike forrester NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208733
michigan house representatives robert kosowski NA NA NA NA NA NA NA michigan house representatives michigan house representatives NA michigan house representatives michigan house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208743
illinois general assembly kimberly lightford NA NA NA NA NA NA NA illinois general assembly illinois general assembly NA illinois general assembly illinois general assembly https://www.regulations.gov/document?D=CFPB-2016-0025-208735
house representatives state south carolina mike burns NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208732
georgia house representatives bruce williamson NA NA NA NA NA NA NA georgia house representatives georgia house representatives NA georgia house representatives georgia house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208739
house representatives state south carolina garry smith NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208731
house representatives state south carolina michael pitts NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-208745
americans financial reform andrew rogers NA NA NA NA NA NA NA americans financial reform americans financial reform NA americans financial reform americans financial reform https://www.regulations.gov/document?D=CFPB-2016-0025-208912
veritec solutions thomas reinheimer NA NA NA NA NA NA NA veritec solutions veritec solutions NA veritec solutions veritec solutions https://www.regulations.gov/document?D=CFPB-2016-0025-208911
americans financial reform andrew rogers NA NA NA NA NA NA NA americans financial reform americans financial reform NA americans financial reform americans financial reform https://www.regulations.gov/document?D=CFPB-2016-0020-6391
wolters kluwer financial services jeanne erickson NA NA NA NA NA NA NA wolters kluwer financial services wolters kluwer financial services NA wolters kluwer financial services wolters kluwer financial services https://www.regulations.gov/document?D=CFPB-2016-0038-1610
alaska usa federal credit union christopher wilder NA NA NA NA NA NA NA alaska usa federal credit union alaska usa federal credit union NA alaska usa federal credit union alaska usa federal credit union https://www.regulations.gov/document?D=CFPB-2016-0039-0020
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144223
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144189
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144196
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144188
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144225
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144186
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144178
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144195
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144194
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144192
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144197
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144177
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144187
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144190
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144191
amscot financial kelly larsson NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144203
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144179
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144193
amscot financial richard holland NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144246
oklahoma house representatives scott biggs NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144287
oklahoma house representatives scooter park NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144292
amscot financial eric staples NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144307
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144304
oklahoma house representatives chad caldwell NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144288
amscot financial kerala logis NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144308
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144305
oklahoma house representatives james leewright NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144290
amscot financial ashleigh spala NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144309
amscot financial racquel jones NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144310
amscot financial tracy hall NA NA NA NA NA NA NA amscot financial amscot financial NA amscot financial amscot financial https://www.regulations.gov/document?D=CFPB-2016-0025-144311
coastal federal credit union gregg norris NA NA NA NA NA NA NA coastal federal credit union coastal federal credit union NA coastal federal credit union coastal federal credit union https://www.regulations.gov/document?D=CFPB-2016-0025-144286
wisconsin state assembly tyler august NA NA NA NA NA NA NA wisconsin state assembly wisconsin state assembly NA wisconsin state assembly wisconsin state assembly https://www.regulations.gov/document?D=CFPB-2016-0025-144295
oklahoma house representatives jon echols NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144289
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144303
oklahoma house representatives pat ownbey NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144291
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144253
cash express anonymous anonymous NA NA NA NA NA NA NA cash express cash express NA cash express cash express https://www.regulations.gov/document?D=CFPB-2016-0025-144302
texas house representatives jodie laubenberg NA NA NA NA NA NA NA texas house representatives texas house representatives NA texas house representatives texas house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144323
oklahoma house representatives justin wood NA NA NA NA NA NA NA oklahoma house representatives oklahoma house representatives NA oklahoma house representatives oklahoma house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144338
mayor jersey city nj steven fulop NA NA NA NA NA NA NA city jersey city nj city jersey city nj NA city jersey city nj city jersey city nj https://www.regulations.gov/document?D=CFPB-2016-0025-144387
south carolina house representatives garry smith NA NA NA NA NA NA NA south carolina house representatives south carolina house representatives NA south carolina house representatives south carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144388
maryland house delegates dana stein NA NA NA NA NA NA NA maryland house delegates maryland house delegates NA maryland house delegates maryland house delegates https://www.regulations.gov/document?D=CFPB-2016-0025-144397
mississippi state senate willie simmons NA NA NA NA NA NA NA mississippi state senate mississippi state senate NA mississippi state senate mississippi state senate https://www.regulations.gov/document?D=CFPB-2016-0025-144389
mississippi house representatives joel bomgar NA NA NA NA NA NA NA mississippi house representatives mississippi house representatives NA mississippi house representatives mississippi house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144385
mississippi house representatives michael evans NA NA NA NA NA NA NA mississippi house representatives mississippi house representatives NA mississippi house representatives mississippi house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144390
indiana house representatives greg beumer NA NA NA NA NA NA NA indiana house representatives indiana house representatives NA indiana house representatives indiana house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144395
north carolina house representatives larry hall NA NA NA NA NA NA NA north carolina house representatives north carolina house representatives NA north carolina house representatives north carolina house representatives https://www.regulations.gov/document?D=CFPB-2016-0025-144392
wisconsin state senate stephen nass NA NA NA NA NA NA NA wisconsin state senate wisconsin state senate NA wisconsin state senate wisconsin state senate https://www.regulations.gov/document?D=CFPB-2016-0025-144394
mississippi state senate terry burton NA NA NA NA NA NA NA mississippi state senate mississippi state senate NA mississippi state senate mississippi state senate https://www.regulations.gov/document?D=CFPB-2016-0025-144396
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144687
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144686
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144734
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144713
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144690
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144685
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144733
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144747
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144727
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144710
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144730
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144722
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144694
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144732
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144715
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144698
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144739
axcess financial aaron neace NA NA NA NA NA NA NA axcess financial services axcess financial services NA axcess financial services axcess financial services https://www.regulations.gov/document?D=CFPB-2016-0025-144749
# 0
 paste("SEC matches: ", sum(!is.na(d$SEC_Institutions_name)))
## [1] "SEC matches:  0"
# d %>% filter(!is.na(SEC_Institutions_name)) %>% dplyr::select(ends_with("name"))  %>% kablebox()

Example Comment URLs

#Example urls

d %>% group_by(Agency) %>% 
  slice(1) %>% 
  dplyr::select(docket_id, comment_url) %>% 
  kablebox()

Participation by organization resources

Comparing public companies that did and did not comment on Dodd-Frank rules

#FDIC-density
# load(here("data", "FDIC_resources.Rdata"))

# CSVs for simplicity 
FDIC_resources <- read_csv(here::here("data", "merged_resources", "FDIC_Institutions.csv"))  %>%
  dplyr::select(NAME, NAMEHCR, STALP, STNAME, BKCLASS, ASSET) %>% 
  mutate(org_name = str_to_lower(NAME)) %>% 
  mutate(commented = org_name %in% d$best_match_name | org_name %in% d$FDIC_Institutions_name)


FDIC_resources %>% 
  #filter(assets > 100) %>% 
  mutate(Commented = ifelse(commented, "Commented", "Did not comment")) %>%
  ggplot() + 
  aes(x = ASSET/1000000, fill = Commented) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "FDIC-Insured Banks",
       fill = "", y = "", x = "Assets (Millions)")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

Counts

# FDIC-count
FDIC_resources %<>% 
  mutate(Commented = ifelse(
    org_name %in% d$best_match_name,
    "Commented", 
    "Did not comment")) 

# Dropping banks with less than $100
FDIC_resources %<>%  filter(ASSET > 1000) 

FDIC_resources %<>%  
    group_by(Commented) %>% 
  mutate(mean_ASSET = mean(ASSET, na.rm =TRUE),
         median_ASSET = median(ASSET, na.rm =TRUE)) %>% 
  group_by(Commented, BKCLASS) %>%
  mutate(mean_ASSET_type = mean(ASSET, na.rm =TRUE),
         median_ASSET_type = median(ASSET, na.rm =TRUE)) 



FDIC_resources %>% densityplot()


FDIC_resources %<>% 
  filter(#BKCLASS != "N", 
         BKCLASS != "OI") 

FDIC_resources %>%
  densityplot()

FDIC_resources %>% distinct(Commented, mean_ASSET, median_ASSET) %>% kable()
BKCLASS Commented mean_ASSET median_ASSET
NM Did not comment 1183264 100348.0
SM Did not comment 1183264 100348.0
NM Commented 1115826 133440.5
N Did not comment 1183264 100348.0
SM Commented 1115826 133440.5
SA Commented 1115826 133440.5
N Commented 1115826 133440.5
SB Did not comment 1183264 100348.0
SA Did not comment 1183264 100348.0
SB Commented 1115826 133440.5
FDIC_resources %>% distinct(Commented, BKCLASS, mean_ASSET_type, median_ASSET_type) %>% arrange(BKCLASS) %>% kablebox()
BKCLASS Commented mean_ASSET_type median_ASSET_type
N Commented 759145.7 101457.5
NM Commented 480366.4 112823.5
SA Commented 1385932.2 236700.0
SB Commented 948927.4 513376.0
SM Commented 3921396.0 215943.0
N Did not comment 2696871.9 97701.0
NM Did not comment 359270.5 80597.0
SA Did not comment 909580.7 130933.0
SB Did not comment 874269.1 299079.0
SM Did not comment 1274237.4 138193.0
FDIC_resources %>%
  filter(ASSET > 10) %>% 
  mutate(Commented = Commented %>% paste0(         
    "\n(median = $", round(median_ASSET, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET, 0) %>% prettyNum(big.mark = ","), ")")) %>% 
  ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET/1000)) + 
    geom_vline( aes(xintercept = median_ASSET/1000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = "All U.S. FDIC-Insured Banks",fill = "", y = "", x = "Assets (Thousands)") + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")


FDIC instituttions

National Associations

I am dropping National Associations for now because we are not matching some important ones, including JP Morgan Chase, Wells Fargo, Bank of America, CitiBank, PNC BANK, Capital One, U.S. Bank, TD Bank, and Chase Bank.

This appears to be caused by commenting organizations matching to other FDIC classes (SA, SM, NM) or other datasets (mostly CIK). If the latter, this will hopefully be fixed when we allow matches across datasets, but if it is the former, and we only allow one match per dataset (as is appropriate), then we might need to think more about the best approach to matching these, perhaps selecting by largest assets.

#FDIC-count-national-association 

# class N
FDIC_resources %>% filter(BKCLASS == "N") %>% distinct(org_name, ASSET, Commented) %>% arrange(-ASSET) %>% kablebox()
BKCLASS ASSET org_name Commented
N 46180048 city national bank Commented
N 23180018 valley national bank Commented
N 21936271 first american national bank Commented
N 21845545 tcf national bank Commented
N 14772851 old national bank Commented
N 4175351 old national bank Commented
N 3385348 american national bank Commented
N 3085764 first national bank Commented
N 2444512 tcf national bank Commented
N 2403330 inwood national bank Commented
N 2329871 old second national bank Commented
N 1865087 first national bank Commented
N 1809982 citizens national bank Commented
N 1742042 first national bank texas Commented
N 1729930 first national bank Commented
N 1679832 security national bank Commented
N 1636251 first citizens national bank Commented
N 1472981 first national bank Commented
N 1467036 first dakota national bank Commented
N 1431157 first american national bank Commented
N 1400723 access national bank Commented
N 1191877 first national bank Commented
N 1185705 first national bank Commented
N 1060833 community national bank Commented
N 1000850 citizens national bank Commented
N 998323 new maine national bank Commented
N 994582 citizens national bank Commented
N 955392 american national bank Commented
N 950536 community national bank Commented
N 921024 landmark national bank Commented
N 920181 first national bank Commented
N 878788 community national bank Commented
N 874822 first southern national bank Commented
N 820245 american bank national association Commented
N 778687 thomasville national bank Commented
N 769033 cortrust bank national association Commented
N 699835 beverly national bank Commented
N 693337 nebraskaland national bank Commented
N 653477 newfirst national bank Commented
N 645947 first national bank Commented
N 642445 community national bank Commented
N 596869 first american national bank Commented
N 558844 great plains national bank Commented
N 558119 skyline national bank Commented
N 545261 valley national bank Commented
N 545033 first national bank Commented
N 476892 hnb national bank Commented
N 473082 first national bank Commented
N 471642 heritage national bank Commented
N 466778 first national bank Commented
N 461048 community national bank Commented
N 454748 first american national bank Commented
N 450025 first national bank Commented
N 442085 first national bank Commented
N 438560 citizens national bank Commented
N 431812 first national bank Commented
N 430479 first national bank Commented
N 424418 community national bank Commented
N 420537 first national bank Commented
N 415581 citizens national bank Commented
N 379103 first national bank in howell Commented
N 370820 first national bank Commented
N 363525 security national bank Commented
N 345170 first national bank Commented
N 336981 american national bank Commented
N 329606 first national bank Commented
N 304201 edison national bank Commented
N 300786 first national bank Commented
N 300752 first national bank Commented
N 296868 first national bank Commented
N 293441 american national bank Commented
N 286524 first national bank Commented
N 283422 first national bank Commented
N 279204 first national bank Commented
N 276428 community national bank Commented
N 272908 powell valley national bank Commented
N 263201 fort hood national bank Commented
N 263003 first american national bank Commented
N 262163 first national bank Commented
N 261589 first american national bank Commented
N 259819 first national bank Commented
N 259817 first citizens national bank Commented
N 259805 ramsey national bank Commented
N 258152 first national bank Commented
N 252520 first national bank Commented
N 245213 community national bank Commented
N 243111 security national bank Commented
N 242869 texstar national bank Commented
N 238769 first national bank Commented
N 225715 heritage national bank Commented
N 224675 american national bank Commented
N 219050 community national bank Commented
N 217284 first national bank Commented
N 217138 great plains national bank Commented
N 214661 buena vista national bank Commented
N 209500 first national bank minnesota Commented
N 207831 security national bank Commented
N 204832 first national bank Commented
N 203991 first national bank Commented
N 202470 first national bank in taylorville Commented
N 2138002000 jpmorgan chase bank, national association Did not comment
N 1749176000 wells fargo bank, national association Did not comment
N 1707215000 bank of america, national association Did not comment
N 1369304000 citibank, national association Did not comment
N 510083000 wachovia bank, national association Did not comment
N 442985106 u.s. bank national association Did not comment
N 360348645 pnc bank, national association Did not comment
N 322913000 bank of america, national association Did not comment
N 282071109 capital one, national association Did not comment
N 274106659 td bank, national association Did not comment
N 259527000 bank one, national association Did not comment
N 213056075 fleet national bank Did not comment
N 200405288 hsbc bank usa, national association Did not comment
N 190953448 west, national association Did not comment
N 132807446 chase bank usa, national association Did not comment
N 132288338 keybank national association Did not comment
N 131594152 national city bank Did not comment
N 127377000 morgan stanley bank, national association Did not comment
N 127000000 fia card services, national association Did not comment
N 124994624 first union national bank Did not comment
N 119842604 citibank (south dakota), n.a. Did not comment
N 119759000 the chase manhattan bank (national association) Did not comment
N 118240305 citizens bank, national association Did not comment
N 116115695 mufg union bank, national association Did not comment
N 105873901 capital one bank (usa), national association Did not comment
N 105498391 bmo harris bank national association Did not comment
N 99868655 the huntington national bank Did not comment
N 87741000 fleet national bank Did not comment
N 80451696 u.s. bank national association Did not comment
N 80375731 santander bank, n.a. Did not comment
N 72117458 wachovia bank, national association Did not comment
N 69853000 bank one, national association Did not comment
N 65298479 zb, national association Did not comment
N 63388382 lasalle bank national association Did not comment
N 62921254 nationsbank of texas, national association Did not comment
N 59927703 wells fargo bank southwest, national association Did not comment
N 57282121 bank of america, national association (usa) Did not comment
N 53504000 morgan stanley private bank, national association Did not comment
N 51373714 commerce bank, national association Did not comment
N 50497074 security pacific national bank Did not comment
N 48801863 wells fargo bank minnesota, national association Did not comment
N 46376252 charter one bank, national association Did not comment
N 46058277 nationsbank, national association (south) Did not comment
N 44871208 corestates bank, national association Did not comment
N 43244081 pnc bank, national association Did not comment
N 42432000 barnett bank, national association Did not comment
N 42065232 cit bank, national association Did not comment
N 41361587 cfsb, national association Did not comment
N 40016262 people’s united bank, national association Did not comment
N 39356587 first union national bank of florida Did not comment
N 37562880 lasalle bank midwest national association Did not comment
N 35554951 first bank national association Did not comment
N 34722095 union planters bank, national association Did not comment
N 33074133 united states national bank of oregon Did not comment
N 32925808 first niagara bank, national association Did not comment
N 32840269 bokf, national association Did not comment
N 31782165 bank one, delaware, national association Did not comment
N 31498941 bank one, texas, national association Did not comment
N 31280012 nationsbank of north carolina, national association Did not comment
N 30010076 first national bank of pennsylvania Did not comment
N 29417149 first tennessee bank, national association Did not comment
N 29384969 nationsbank, national association Did not comment
N 29045292 associated bank, national association Did not comment
N 28810000 fleet bank, national association Did not comment
N 27881033 bankunited, national association Did not comment
N 27805943 national bank of commerce Did not comment
N 27611443 bank of america utah, national association Did not comment
N 26455430 national city bank of indiana Did not comment
N 26155280 firstmerit bank, national association Did not comment
N 25991843 webster bank, national association Did not comment
N 25521936 national city bank of the midwest Did not comment
N 24553384 chase bank of texas, national association Did not comment
N 24480262 wells fargo bank texas, national association Did not comment
N 24041443 bny mellon, national association Did not comment
N 23744000 bank of america california, national association Did not comment
N 23471731 td bank usa, national association Did not comment
N 23463075 wells fargo bank, national association Did not comment
N 23182585 bank one, arizona, national association Did not comment
N 22785223 wells fargo bank south, national association Did not comment
N 21588711 nationsbank of florida, n.a. Did not comment
N 20860581 texas capital bank, national association Did not comment
N 20376500 mercantile bank of st. louis national association Did not comment
N 20290729 umb bank, national association Did not comment
N 20065417 first fidelity bank, national association, new jersey Did not comment
N 19791000 bank of america, rhode island, national association Did not comment
N 19790697 firstar bank missouri, national association Did not comment
N 19594595 wachovia bank of georgia, national association Did not comment
N 19201244 first national bank of omaha Did not comment
N 19178772 raymond james bank, national association Did not comment
N 19064299 mb financial bank, national association Did not comment
N 18018348 nationsbank, national association Did not comment
N 17425646 the boatmen’s national bank of st. louis Did not comment
N 17085655 first republicbank dallas, national association Did not comment
N 17008132 mercantile bank of st. louis national association Did not comment
N 16661593 national westminster bank usa Did not comment
N 16568000 bank of america nw, national association Did not comment
N 16292607 american national bank and trust company of chicago Did not comment
N 16103864 northern trust, national association Did not comment
N 15878043 western financial bank, national association Did not comment
N 15574602 jpmorgan bank and trust company, national association Did not comment
# jpmorgan and wells fargo banks 
FDIC_resources %>% filter(str_detect(org_name, "jpmorgan|wells fargo|^bank of america|capital one|td bank|chase bank")) %>% distinct(BKCLASS, org_name, ASSET, Commented) %>% arrange(-ASSET) %>% kablebox()
BKCLASS ASSET org_name Commented
SB 1083725 fox chase bank Commented
N 2138002000 jpmorgan chase bank, national association Did not comment
N 1749176000 wells fargo bank, national association Did not comment
N 1707215000 bank of america, national association Did not comment
N 322913000 bank of america, national association Did not comment
N 282071109 capital one, national association Did not comment
N 274106659 td bank, national association Did not comment
N 132807446 chase bank usa, national association Did not comment
N 105873901 capital one bank (usa), national association Did not comment
N 59927703 wells fargo bank southwest, national association Did not comment
N 57282121 bank of america, national association (usa) Did not comment
N 48801863 wells fargo bank minnesota, national association Did not comment
N 27611443 bank of america utah, national association Did not comment
N 24553384 chase bank of texas, national association Did not comment
N 24480262 wells fargo bank texas, national association Did not comment
N 23744000 bank of america california, national association Did not comment
N 23471731 td bank usa, national association Did not comment
N 23463075 wells fargo bank, national association Did not comment
N 22785223 wells fargo bank south, national association Did not comment
N 19791000 bank of america, rhode island, national association Did not comment
N 16568000 bank of america nw, national association Did not comment
N 15574602 jpmorgan bank and trust company, national association Did not comment
N 14100333 wells fargo bank west, national association Did not comment
N 12827633 wells fargo bank arizona, national association Did not comment
N 10419000 bank of america oregon, national association Did not comment
N 9910298 wells fargo bank nevada, national association Did not comment
N 9075304 wells fargo bank south central, national association Did not comment
N 8976763 wells fargo financial national bank Did not comment
N 8976710 wells fargo bank northwest, national association Did not comment
N 8975383 wells fargo bank of arizona, national association Did not comment
N 8593505 wells fargo bank south dakota, national association Did not comment
N 7565976 wells fargo bank texas, national association Did not comment
N 6606799 wells fargo bank iowa, national association Did not comment
N 5428957 wells fargo bank new mexico, national association Did not comment
N 5270829 bank of america texas, national association Did not comment
N 3719069 wells fargo bank alaska, national association Did not comment
N 3616003 wells fargo bank nebraska, national association Did not comment
N 2583733 wells fargo bank wisconsin, national association Did not comment
N 2153446 wells fargo bank wyoming, national association Did not comment
N 2021106 wells fargo bank indiana, national association Did not comment
N 1730038 wells fargo bank (colorado), national association Did not comment
N 1619871 wells fargo bank montana, national association Did not comment
N 1531122 wells fargo bank north dakota, national association Did not comment
N 1477681 wells fargo hsbc trade bank, national association Did not comment
N 950775 bank of america new mexico, national association Did not comment
N 762001 wells fargo bank michigan, national association Did not comment
N 478157 wells fargo bank illinois, national association Did not comment
N 446448 bank of america idaho, national association Did not comment
N 224533 bank of america-alaska, national association Did not comment
N 109981 wells fargo bank ohio, national association Did not comment
N 92839 bank of america georgia, national association Did not comment
N 27390 wells fargo bank (arizona), national association Did not comment
N 15181 chase bank of texas-san angelo, national association Did not comment
N 3325 wells fargo bank grand junction, national association Did not comment
N 3242 wells fargo bank grand junction-downtown, national association Did not comment
NM 8905690 bank of america arizona Did not comment
NM 6296020 wells fargo financial bank Did not comment
NM 3629011 bank of america oregon Did not comment
NM 667763 wells fargo bank, ltd. Did not comment
NM 514491 chase bank of arizona Did not comment
NM 144267 bank of america idaho Did not comment
NM 70692 bank of america community development bank Did not comment
NM 37564 chevy chase bank and trust company Did not comment
NM 6166 wells fargo central bank Did not comment
SA 18493587 chevy chase bank, f.s.b. Did not comment
SA 17487074 capital one, f.s.b. Did not comment
SA 4478937 bank of america, federal savings bank Did not comment
SA 9542 td bank usa, fsb Did not comment
SM 16647000 bank of america illinois Did not comment
SM 4393603 bank of america, national association Did not comment
SM 350007 chase bank of ohio Did not comment
SM 61001 jpmorgan chase bank, dearborn Did not comment
# orgs in the comment data
d %>% filter(str_detect(org_name, "jpmorgan|wells fargo|^bank of america|capital one|td bank|chase bank")) %>% distinct(org_name, best_match_type, `FDIC_Institutions-bestMatch:ASSET`) %>% 
  kablebox()
best_match_type FDIC_Institutions-bestMatch:ASSET org_name
CIK NA wells fargo
CIK NA jp morgan chase bank na
CIK NA wells fargo bank na
CIK NA jpmorgan chase bank na
CIK NA wells fargo home equity assetbacked securities 20042 trust
CIK NA jpmorgan absolute return mortgage fund
CIK NA wells fargo clearing services
CIK NA wells fargo funds management
CIK NA capital one financial
CIK NA wells fargo advisors
FDIC 1083725 fox chase bank
CIK NA jpmorgan chase
CIK NA capital one
FDIC 17487074 capital one fsb
CIK NA jpmorgan fleming tax aware international opportunities fund
FDIC_resources %>% count(Commented) %>% mutate(percent = n/nrow(FDIC_resources))
## # A tibble: 10 × 4
## # Groups:   Commented, BKCLASS [10]
##    Commented       BKCLASS     n percent
##    <chr>           <chr>   <int>   <dbl>
##  1 Commented       N         278 0.0108 
##  2 Commented       NM       1442 0.0562 
##  3 Commented       SA        126 0.00491
##  4 Commented       SB         87 0.00339
##  5 Commented       SM        355 0.0138 
##  6 Did not comment N        6286 0.245  
##  7 Did not comment NM      10399 0.405  
##  8 Did not comment SA       3624 0.141  
##  9 Did not comment SB        757 0.0295 
## 10 Did not comment SM       2292 0.0894
FDIC_resources %>% group_by(BKCLASS) %>%
  mutate(nbkclass = n() ) %>% count(Commented, nbkclass) %>% mutate(percent = n/nbkclass) 
## # A tibble: 10 × 5
## # Groups:   BKCLASS [5]
##    BKCLASS Commented       nbkclass     n percent
##    <chr>   <chr>              <int> <int>   <dbl>
##  1 N       Commented           6564   278  0.0424
##  2 N       Did not comment     6564  6286  0.958 
##  3 NM      Commented          11841  1442  0.122 
##  4 NM      Did not comment    11841 10399  0.878 
##  5 SA      Commented           3750   126  0.0336
##  6 SA      Did not comment     3750  3624  0.966 
##  7 SB      Commented            844    87  0.103 
##  8 SB      Did not comment      844   757  0.897 
##  9 SM      Commented           2647   355  0.134 
## 10 SM      Did not comment     2647  2292  0.866
fdic_t <- t.test(FDIC_resources %>% filter(commented) %>% pull(ASSET),
       FDIC_resources %>% filter(!commented) %>% pull(ASSET))
fdic_t
## 
##  Welch Two Sample t-test
## 
## data:  FDIC_resources %>% filter(commented) %>% pull(ASSET) and FDIC_resources %>% filter(!commented) %>% pull(ASSET)
## t = -0.27481, df = 7719.9, p-value = 0.7835
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -523630.6  394868.4
## sample estimates:
## mean of x mean of y 
##   1115826   1180207
fdic_tNM <- t.test(FDIC_resources %>% filter(commented, BKCLASS == "NM") %>% pull(ASSET),
       FDIC_resources %>% filter(!commented, BKCLASS == "NM") %>% pull(ASSET))
fdic_tNM
## 
##  Welch Two Sample t-test
## 
## data:  FDIC_resources %>% filter(commented, BKCLASS == "NM") %>% pull(ASSET) and FDIC_resources %>% filter(!commented, BKCLASS == "NM") %>% pull(ASSET)
## t = 1.8342, df = 2206.3, p-value = 0.06675
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   -8371.134 250562.961
## sample estimates:
## mean of x mean of y 
##  480366.4  359270.5
fdic_tSM <- t.test(FDIC_resources %>% filter(commented, BKCLASS == "SM") %>% pull(ASSET),
       FDIC_resources %>% filter(!commented, BKCLASS == "SM") %>% pull(ASSET))
fdic_tSM 
## 
##  Welch Two Sample t-test
## 
## data:  FDIC_resources %>% filter(commented, BKCLASS == "SM") %>% pull(ASSET) and FDIC_resources %>% filter(!commented, BKCLASS == "SM") %>% pull(ASSET)
## t = 2.5578, df = 386.9, p-value = 0.01092
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   612318.6 4681998.5
## sample estimates:
## mean of x mean of y 
##   3921396   1274237
fdic_tSB <- t.test(FDIC_resources %>% filter(commented, BKCLASS == "SB") %>% pull(ASSET),
       FDIC_resources %>% filter(!commented, BKCLASS == "SB") %>% pull(ASSET))
fdic_tSB
## 
##  Welch Two Sample t-test
## 
## data:  FDIC_resources %>% filter(commented, BKCLASS == "SB") %>% pull(ASSET) and FDIC_resources %>% filter(!commented, BKCLASS == "SB") %>% pull(ASSET)
## t = 0.3818, df = 167.27, p-value = 0.7031
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -311391.9  460708.4
## sample estimates:
## mean of x mean of y 
##  948927.4  874269.1
fdic_tSA <- t.test(FDIC_resources %>% filter(commented, BKCLASS == "SA") %>% pull(ASSET),
       FDIC_resources %>% filter(!commented, BKCLASS == "SA") %>% pull(ASSET))
fdic_tSA
## 
##  Welch Two Sample t-test
## 
## data:  FDIC_resources %>% filter(commented, BKCLASS == "SA") %>% pull(ASSET) and FDIC_resources %>% filter(!commented, BKCLASS == "SA") %>% pull(ASSET)
## t = 0.70883, df = 133.16, p-value = 0.4797
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -852880 1805583
## sample estimates:
## mean of x mean of y 
## 1385932.2  909580.7
FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("N")) %>% 
  mutate(Commented = Commented %>% paste0(
         "\n(median = $", round(median_ASSET_type, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET_type, 0) %>% prettyNum(big.mark = ","), ")"
    )) %>% 
  ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET_type/1000)) + 
      geom_vline( aes(xintercept = median_ASSET_type/1000), linetype = 2) +
  scale_x_log10() + 
  labs(title = "FDIC-Insured National Associations",
       fill = "", y = "", x = "Assets (Thousands)") + 
  facet_wrap("Commented",  scales = "free_y", nrow = 2)+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

Dropping National Associations

Now omitting class national associations and foreign banks (Class IO are foreign banks and did not comment)

#FDIC-density-select


FDIC_resources %<>% 
  filter(BKCLASS != "N", 
         BKCLASS != "OI") %>% 
  ungroup() %>% 
  group_by(Commented) %>% 
  mutate(mean_ASSET = mean(ASSET, na.rm =TRUE),
           median_ASSET = median(ASSET, na.rm =TRUE)) 

# density plot without N and OI
FDIC_resources %>%
   densityplot(caption = str_c("Welch t-test of difference in means, p = ", fdic_t$p.value %>% round(3), "\nOmits foreign banks and national associations"))

FDIC_resources %>% distinct(Commented, mean_ASSET) %>% kable()
Commented mean_ASSET
Did not comment 621763.6
Commented 1165158.3
FDIC_resources %>%
  filter(ASSET > 10) %>% 
  mutate(Commented = Commented %>% paste0(         
    "\n(median = $", round(median_ASSET/1000000, 2) , " million",
         ", mean = $", round(mean_ASSET/1000000, 1) %>% prettyNum(big.mark = ","), " million)")) %>% 
  ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET/1000)) + 
    geom_vline( aes(xintercept = median_ASSET/1000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = str_c("U.S. FDIC-Insured Banks, N = ", nrow(FDIC_resources)%>% prettyNum(big.mark = ",")) ,
       fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_t$p.value %>% round(3), "\nOmits foreign banks and national associations")) + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("NM")) %>% 
  mutate(Commented = Commented %>% paste0(
         "\n(median = $", round(median_ASSET_type, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET_type, 0) %>% prettyNum(big.mark = ","), ")"
    )) %>% 
  ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET_type/1000)) + 
    geom_vline( aes(xintercept = median_ASSET_type/1000), linetype = 2) +
  scale_x_log10() + 
  labs(title = "FDIC-Insured Commercial Banks",fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tNM$p.value %>% round(3)))  + 
  facet_wrap("Commented",  scales = "free_y", nrow = 2)+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SB")) %>% 
  mutate(Commented = Commented %>% paste0(
         "\n(median = $", round(median_ASSET_type, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET_type, 0) %>% prettyNum(big.mark = ","), ")"
    )) %>% 
    ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET_type/1000)) + 
      geom_vline( aes(xintercept = median_ASSET_type/1000), linetype = 2) +
  scale_x_log10() + 
  labs(title = "FDIC-Insured Savings Banks",fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSB$p.value %>% round(3)))  + 
  facet_wrap("Commented",  scales = "free_y", nrow = 2)+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")


FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SM")) %>% 
  mutate(Commented = Commented %>% paste0(
         "\n(median = $", round(median_ASSET_type, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET_type, 0) %>% prettyNum(big.mark = ","), ")"
    )) %>% 
    ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET_type/1000)) + 
      geom_vline( aes(xintercept = median_ASSET_type/1000), linetype = 2) +
scale_x_log10() + 
  labs(title = "FDIC-Insured State Banks",fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSM$p.value %>% round(3)))  + 
  facet_wrap("Commented",  scales = "free_y", nrow = 2)+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SA")) %>% 
  mutate(Commented = Commented %>% paste0(
         "\n(median = $", round(median_ASSET_type, 0) %>% prettyNum(big.mark = ",") ,
         ", mean = $", round(mean_ASSET_type, 0) %>% prettyNum(big.mark = ","), ")"
    )) %>% 
    ggplot() + 
  aes(x = ASSET/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_ASSET_type/1000)) + 
      geom_vline( aes(xintercept = median_ASSET_type/1000), linetype = 2) +
scale_x_log10() + 
  labs(title = "FDIC-Insured Savings Associations",fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSA$p.value %>% round(3)))  + 
  facet_wrap("Commented",  scales = "free_y", nrow = 2)+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("NM")) %>% 
  densityplot(
    title = "FDIC-Insured Commercial Banks",
    x = "Assets (Thousands)",
    caption = str_c("Welch t-test of difference in means, p = ", fdic_tNM$p.value %>% round(3)))
  

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SB")) %>% 
  densityplot(title = "FDIC-Insured Savings Banks", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSB$p.value %>% round(3)))


FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SM")) %>% 
  densityplot(title = "FDIC-Insured State Banks",
              x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSM$p.value %>% round(3)))

FDIC_resources %>%
  filter(ASSET > 10, BKCLASS %in% c("SA")) %>% 
  densityplot(title = "FDIC-Insured Savings Associations",
              x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", fdic_tSA$p.value %>% round(3)))

states <- map_data("state")

FDIC_state_n <- FDIC_resources %>% 
  mutate(region = STNAME %>% str_to_lower()) %>% 
  group_by(region) %>% 
  summarise(n = n() )

states %>% 
  left_join(FDIC_state_n) %>% 
  ggplot() +
  aes(long, lat, group = group, fill = n) +
  geom_polygon(color = "white") + 
  labs(fill = "FDIC-Insured Banks") +
  theme_void()


FDIC_state_n <- FDIC_resources %>% 
  mutate(region = STNAME %>% str_to_lower()) %>% 
  group_by(region) %>% 
  summarise(n = sum(Commented == "Commented"))

states %>% 
  left_join(FDIC_state_n) %>% 
  ggplot() +
  aes(long, lat, group = group, fill = n) +
  geom_polygon(color = "white") + 
  labs(fill = "FDIC-Insured Banks \nCommenting On\n Dodd-Frank Rules") +
  theme_void()


Among nonprofits that commented on Dodd-Frank rules

load(here("data", "nonprofit_resources.Rdata"))

# make unique ( there are nearly 5k different rotary internationals and several APIs )
# select org entry with highest assets 
nonprofit_resources %<>% group_by(org_name) %>% 
  top_n(1, assets) %>% 
  ungroup()

nonprofit_resources %>% 
  filter(org_name %in% d$best_match_name) %>% 
  #filter(commented, assets > 100) %>% 
  ggplot() + 
  aes(x = assets, y = n) + 
  geom_point(alpha = .5) + 
  geom_smooth() + 
    labs(x = "Assets",
         title = str_c("Non-profits, N = ", nrow(nonprofit_resources)),
       y = "Number of Comments") +
  scale_x_log10()


nonprofit_resources %>% 
    filter(org_name %in% d$best_match_name) %>% 
  filter(commented, assets > 100) %>% 
  ggplot() + 
  aes(x = revenue, y = n) + 
  geom_point(alpha = .5) + 
  geom_smooth() + 
    labs(x = "Revenue",
         title = str_c("Non-profits, N = ", nrow(nonprofit_resources)),
       y = "Number of Comments") +
  scale_x_log10() 


Comparing nonprofits that did and did not comment on Dodd-Frank rules

# counts 
nonprofit_resources %<>% 
  mutate(Commented = ifelse(
    org_name %in% d$best_match_name,
    "Commented", 
    "Did not comment")) 

nonprofit_resources %>% count(Commented) %>% mutate(percent = n/nrow(nonprofit_resources))
## # A tibble: 2 × 3
##   Commented            n percent
##   <chr>            <int>   <dbl>
## 1 Commented          744 0.00160
## 2 Did not comment 463765 0.998
nonprofit_t <- t.test(nonprofit_resources %>% filter(commented) %>% pull(assets),
       nonprofit_resources %>% filter(!commented) %>% pull(assets))

nonprofit_t
## 
##  Welch Two Sample t-test
## 
## data:  nonprofit_resources %>% filter(commented) %>% pull(assets) and nonprofit_resources %>% filter(!commented) %>% pull(assets)
## t = 3.792, df = 727.06, p-value = 0.0001618
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   81900165 257740893
## sample estimates:
## mean of x mean of y 
## 178384971   8564442
nonprofit_revenue_t <- t.test(nonprofit_resources %>% filter(commented) %>% pull(revenue),
       nonprofit_resources %>% filter(!commented) %>% pull(revenue))

nonprofit_revenue_t
## 
##  Welch Two Sample t-test
## 
## data:  nonprofit_resources %>% filter(commented) %>% pull(revenue) and nonprofit_resources %>% filter(!commented) %>% pull(revenue)
## t = 4.3391, df = 727.26, p-value = 0.00001633
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  21917246 58138456
## sample estimates:
## mean of x mean of y 
##  43970640   3942789
nonprofit_resources %>% 
  filter(assets > 10) %>% 
  densityplot(var = "assets",
              by = 1000,
              title = "Non-profits",
               x = "Assets (Thousands)",
              caption = str_c("Welch t-test of difference in means, p = ", nonprofit_t$p.value %>% round(5))) 


nonprofit_resources %>% 
  filter(revenue > 10) %>%
  densityplot(var = "revenue",
              by = 1000,
              title = "Non-profits",
               x = "Revenue (Thousands)",
              caption = str_c("Welch t-test of difference in means, p = ", nonprofit_revenue_t$p.value %>% round(5))) 

# old density plots 
nonprofit_resources %>% 
  filter(assets > 10) %>% 
  ggplot() + 
  aes(x = assets/1000, fill = Commented) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = str_c("Non-profits, N = ", nrow(nonprofit_resources)),
       fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", nonprofit_t$p.value %>% round(5)))  + 
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

# revenue
nonprofit_resources %>% 
    filter(revenue > 10) %>% 
  ggplot() + 
  aes(x = revenue/1000, fill = Commented) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(fill = "", y = "", x = "Revenue (Thousands)",
       title = str_c("Non-profits, N = ", nrow(nonprofit_resources)),
       caption = str_c("Welch t-test of difference in means, p = ", nonprofit_revenue_t$p.value %>% round(5)))  + 
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())



nonprofit_resources %<>% 
  group_by(Commented) %>% 
  mutate(mean_assets = mean(assets, na.rm = T),
         median_assets = median(assets, na.rm = T),
         mean_revenue = median(revenue, na.rm = T)) %>% 
  ungroup()

nonprofit_resources %>% distinct(Commented, mean_assets, mean_revenue) %>% kable
Commented mean_assets mean_revenue
Did not comment 8543892 119647
Commented 187542657 1055659
# mean assets
mean_commented <- nonprofit_resources %>% filter(Commented == "Commented") %>% distinct(mean_assets/1000000) %>% round(1) %>%  paste("million")

mean_not_commented <- nonprofit_resources %>% filter(Commented != "Commented") %>% distinct(mean_assets/1000000) %>% round(1) %>%  paste("million")

# median assets
median_commented <- nonprofit_resources %>% filter(Commented == "Commented") %>% distinct(median_assets/1000000) %>% round(2) %>%  paste("million")

median_not_commented <- nonprofit_resources %>% filter(Commented != "Commented") %>% distinct(median_assets/1000000) %>% round(2) %>%  paste("million")

Nonprofits that commented on Dodd-Frank rules had an average of 187.5 million in assets, while nonprofits that did not comment averaged 8.5 million.

The median nonprofits that commented on Dodd-Frank rules had assets of 1.89 million in assets, while the median nonprofit that did not comment had 0.23 million.

#nonprofit-count  histograms 
nonprofit_resources %>% 
  filter(assets > 10) %>% 
  mutate(Commented = Commented %>% paste(
    "\n(median = $", round(median_assets/10000000, 2), " million, ",
    "mean = $", round(mean_assets/10000000, 1), " million)"
    )) %>% 
  ggplot() + 
  aes(x = assets/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_assets/1000)) + 
  geom_vline( aes(xintercept = median_assets/1000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = str_c("Non-profits, N = ", nrow(nonprofit_resources) %>% prettyNum(big.mark = ",") ),
       fill = "", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", nonprofit_t$p.value %>% round(5)))  + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")


nonprofit_resources %>% 
  filter(revenue > 10) %>% 
  ggplot() + 
  aes(x = revenue/1000, fill = Commented, label = mean_revenue) + 
  geom_histogram(alpha = .5, color = NA) + 
    geom_vline( aes(xintercept = mean_revenue/1000)) + 
  scale_x_log10() + 
  labs(title = str_c("Non-profits, N = ", nrow(nonprofit_resources)%>% prettyNum(big.mark = ",")),
       fill = "", y= "", x = "Revenue ($1,000s)",
       caption = str_c("Welch t-test of difference in means, p = ", nonprofit_revenue_t$p.value %>% round(5)))  + 
  facet_grid(Commented ~ ., scales = "free_y")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        strip.background = element_blank(),
  strip.text.y = element_blank())

# CHARTS 
# - who comments, who does not 
# - 


# TODO 
# - biggest nonprofits by assets and revenue (e.eg. chamber )
# - compartaitve ratios at key levels
# - percent nonprofits 
# - side by side histograms
# missing fed in matching, but could compare FDIC regulator to agency commented on
# - scholzman and verba, gilens and bartels 

Comparing credit unions that did and did not comment on Dodd-Frank rules

#creditunion-density

#load the full population of campaign donors 
creditunions <- read_csv(here("Data" , "creditunions.csv") %>% str_remove("finreg/") )

creditunions %<>% 
  group_by(CU_NAME) %>% 
  top_n(1, `Total Assets`) %>% 
  ungroup()

creditunions %<>% mutate(org_name = tolower(CU_NAME),
                         assets = `Total Assets`,
                         commented = org_name %in% d$best_match_name,
                         Commented = ifelse(commented, "Commented", "Did not comment"))

creditunions %>% count(Commented) %>% mutate(percent = n/nrow(creditunions))
## # A tibble: 2 × 3
##   Commented           n percent
##   <chr>           <int>   <dbl>
## 1 Commented          99  0.0169
## 2 Did not comment  5743  0.983
creditunion_t <- t.test(creditunions %>% filter(!commented) %>% pull(assets),
       creditunions %>% filter(commented) %>% pull(assets))
creditunion_t
## 
##  Welch Two Sample t-test
## 
## data:  creditunions %>% filter(!commented) %>% pull(assets) and creditunions %>% filter(commented) %>% pull(assets)
## t = -1.177, df = 98.04, p-value = 0.242
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2398920333   612667211
## sample estimates:
##  mean of x  mean of y 
##  195811079 1088937640
# density plots 
creditunions %>% 
  filter(assets > 10) %>% 
  densityplot(var = "assets",
              by = 1000000,
              x = "Assets (Millions)",
              title = "Credit Unions", 
              caption = str_c("Welch t-test of difference in means, p = ", creditunion_t$p.value %>% round(3)))
  
#   
# creditunions %>% 
#   filter(assets > 10) %>% 
#   ggplot() + 
#   aes(x = assets/1000000, fill = Commented) + 
#   geom_density(alpha = .5, color = NA) + 
#   scale_x_log10() + 
#   labs(fill = "", x = "Assets (Millions)", 
#        title = str_c("Credit Unions, N = ", nrow(creditunions)%>% prettyNum(big.mark = ",")),
#        fill = "", y = "",
#        caption = str_c("Welch t-test of difference in means, p = ", creditunion_t$p.value %>% round(3)))  + 
#   theme(panel.grid.major.y = element_blank(),
#         panel.grid.minor.y = element_blank(),
#         axis.text.y = element_blank())

# creditunion-count 
creditunions %<>% 
  group_by(Commented) %>% 
  mutate(mean_assets = mean(assets, na.rm = T),
         median_assets = median(assets, na.rm = T) ) %>% 
  ungroup()

creditunions %>% distinct(Commented, mean_assets) %>% kable
Commented mean_assets
Did not comment 195811079
Commented 1088937640
# count histograms 
creditunions %>% 
    filter(assets > 100000) %>% 
  mutate(Commented = Commented %>% paste0(
    "\n(median = $", round(median_assets/1000000, 0), " million, ",
    "mean = $", round(mean_assets/1000000, 0), " million)"
    )) %>% 
  ggplot() + 
  aes(x = assets/1000000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_assets/1000000)) + 
    geom_vline( aes(xintercept = median_assets/1000000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = str_c("Credit Unions, N = ", nrow(creditunions)%>% prettyNum(big.mark = ",")),
       fill = "", y = "", x = "Assets (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", creditunion_t$p.value %>% round(3)))  + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")


By Lobbying Spending

(OpenSecrets data)

#opensecrets-density

#load the full population of campaign donors 
opensecrets <- read_csv(here("data" , "merged_resources", 
"opensecrets_resources_JwVersion.csv") )




# indicator for whether they commented
opensecrets %<>% 
  mutate(org_name = orgName %>% str_to_lower(),
         Commented = ifelse(
    org_name %in% d$best_match_name,
    "Commented", 
    "Did not comment"))

# unique
opensecrets %<>% group_by(org_name) %>% 
  top_n(1, MeanContribAmount)

opensecrets %<>% 
  group_by(Commented) %>% 
  mutate(mean_MeanContribAmount = mean(MeanContribAmount, na.rm = T),
         median_MeanContribAmount = median(MeanContribAmount, na.rm = T) ) %>% 
  ungroup()

opensecrets %>% distinct(Commented, mean_MeanContribAmount) %>% kable
Commented mean_MeanContribAmount
Did not comment 79563.99
Commented 95264.89
opensecrets %>% count(Commented) %>% mutate(percent = n/nrow(opensecrets))
## # A tibble: 2 × 3
##   Commented           n percent
##   <chr>           <int>   <dbl>
## 1 Commented         321  0.0410
## 2 Did not comment  7500  0.959
opensecrets %<>% mutate(commented = Commented == "Commented")

opensecrets_t <- t.test(opensecrets %>% 
         filter(commented) %>% pull(MeanContribAmount),
       opensecrets %>% 
         filter(!commented) %>% pull(MeanContribAmount)
       )

opensecrets_t
## 
##  Welch Two Sample t-test
## 
## data:  opensecrets %>% filter(commented) %>% pull(MeanContribAmount) and opensecrets %>% filter(!commented) %>% pull(MeanContribAmount)
## t = 2.5961, df = 529.7, p-value = 0.009691
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   3819.99 27581.81
## sample estimates:
## mean of x mean of y 
##  95264.89  79563.99
opensecrets %>% 
  group_by(Commented) %>% 
  summarise(mean_MeanContribAmount = mean(MeanContribAmount, na.rm = T),
            mean_MeanContribAmountPerYearContributed = mean(MeanContribAmountPerYearContributed, na.rm = T),
            MeanTotalContribAmount = mean(TotalContribAmount, na.rm = T)) %>% 
  kable()
Commented mean_MeanContribAmount mean_MeanContribAmountPerYearContributed MeanTotalContribAmount
Commented 95264.89 1865907 11020940
Did not comment 79563.99 1809000 10564125
opensecrets %>% 
  densityplot(var = "MeanContribAmount",
              by = 1000,
              title = "Campaign Donors",
              x =  "Mean Contribution ($1,000s, in years contributing 2010-2017)",
       caption = str_c("Welch t-test of difference in means, p = ", opensecrets_t$p.value %>% round(3))
       )

# # old
# opensecrets %>% 
#   #filter(assets > 10) %>% 
#   ggplot() + 
#   aes(x = MeanContribAmount/1000, fill = Commented) + 
#   geom_density(alpha = .5, color = NA) + 
#   scale_x_log10() + 
#   labs(fill = "",  
#        y = "",
#        title = str_c("Campaign Donors, N = ", nrow(opensecrets)%>% prettyNum(big.mark = ",")),
#        x = "Mean Contribution
#        ($1,000s, in years contributing 2010-2017)")+
#   theme(panel.grid.major.y = element_blank(),
#         panel.grid.minor.y = element_blank(),
#         axis.text.y = element_blank())

opensecrets %>% 
  #filter(assets > 10) %>% 
  ggplot() + 
  aes(x = MeanContribAmountPerYearContributed/1000, fill = Commented) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = str_c("Campaign Donors, N = ", nrow(opensecrets)%>% prettyNum(big.mark = ",")),
       fill = "", 
       y = "",
       x = "Mean Contribution per Year\n($1,000s, 2010-2017)")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

opensecrets %>% 
  #filter(assets > 10) %>% 
  ggplot() + 
  aes(x = TotalContribAmount/1000, fill = Commented) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = str_c("Campaign Donors, N = ", nrow(opensecrets)%>% prettyNum(big.mark = ",")),
       y = "",
       x = "Total Contributions\n($1,000s, 2010-2017)")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

# opensecrets-count 

# count histograms
opensecrets %>% 
    filter(MeanContribAmount > 100) %>% 
  mutate(Commented = Commented %>% paste0(
    "\n(median = $", round(median_MeanContribAmount/1000, 2), " million, ",
    "mean = $", round(mean_MeanContribAmount/1000, 1), " million)"
    )) %>% 
  ggplot() + 
  aes(x = MeanContribAmount/1000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_MeanContribAmount/1000)) + 
    geom_vline( aes(xintercept = median_MeanContribAmount/1000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = str_c("Campaign Donors, N = ", nrow(opensecrets)%>% prettyNum(big.mark = ",")),
       fill = "", y = "", x = "Political Action Committee Donations (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", opensecrets_t$p.value %>% round(3))
       ) + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")


By Market Cap

(Computstat data)

compustat <- read_csv(here("data/merged_resources/compustat_resources.csv"))

#TODO CIK NOW HAS MATCHES, THEY SHOULD BE COMBINED HERE 

compustat %<>% 
  mutate(org_name = conm %>% str_to_lower(),
         Commented = ifelse(
    org_name %in% d$best_match_name,
    "Commented", 
    "Did not comment"),
    commented = Commented == "Commented") %>% 
  mutate(marketcap2 = ifelse(str_detect(marketcap, "k"),
                             marketcap %>% str_remove("k") %>% as.numeric() * 1000,
                             marketcap),
         marketcap2 = ifelse(str_detect(marketcap, "M"),
                             marketcap %>% str_remove("M") %>% as.numeric() * 1000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "B"),
                             marketcap %>% str_remove("B") %>% as.numeric() * 1000000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "T"),
                             marketcap %>% str_remove("T") %>% as.numeric() * 1000000000000,
                             marketcap2),
         marketcap2 = marketcap2 %>% str_remove(",") %>%  as.numeric(marketcap2))

#compustat %>% filter(is.na(marketcap2), !is.na(marketcap)) %>% pull(marketcap)

# unique
compustat %<>% group_by(org_name) %>% 
  top_n(1, marketcap2) %>% 
  ungroup() 


compustat %>% count(Commented) %>% mutate(percent = n/nrow(compustat))
## # A tibble: 2 × 3
##   Commented           n percent
##   <chr>           <int>   <dbl>
## 1 Commented          19 0.00296
## 2 Did not comment  6407 0.997
compustat_t <- t.test(compustat %>% filter(commented) %>% pull(marketcap2),
       compustat %>% filter(!commented) %>% pull(marketcap2))

compustat_t
## 
##  Welch Two Sample t-test
## 
## data:  compustat %>% filter(commented) %>% pull(marketcap2) and compustat %>% filter(!commented) %>% pull(marketcap2)
## t = 2.8683, df = 18.137, p-value = 0.01017
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   9644314241 62343402739
## sample estimates:
##   mean of x   mean of y 
## 45583393579  9589535089
compustat %>% 
  filter(marketcap2 > 1000) %>% 
  densityplot(var = "marketcap2",
              by = 1000000, 
              title = "Publicly-traded Companies",
       x = "Market Capitalization (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", compustat_t$p.value %>% round(3))
       )

# compustat-count 
compustat %<>% 
  group_by(Commented) %>% 
  mutate(mean_marketcap2 = mean(marketcap2, na.rm = T),
         median_marketcap2 = median(marketcap2, na.rm = T) ) %>% 
  ungroup()

compustat %>% distinct(Commented, mean_marketcap2) %>% kable
Commented mean_marketcap2
Did not comment 9589535089
Commented 45583393579
# count histograms
compustat %>% 
    filter(marketcap2 > 1000) %>% 
  mutate(Commented = Commented %>% paste0(
    "\n(median = $", round(median_marketcap2/1000000000, 1), " billion, ",
    "mean = $", round(mean_marketcap2/1000000000, 1), " billion)"
    )) %>% 
  ggplot() + 
  aes(x = marketcap2/1000000, fill = Commented, color = Commented) + 
  geom_histogram(alpha = .5, color = NA) + 
  geom_vline( aes(xintercept = mean_marketcap2/1000000)) + 
    geom_vline( aes(xintercept = median_marketcap2/1000000), linetype = 2) + 
  scale_x_log10() + 
  labs(title = str_c("Publicly-traded Companies, N = ", nrow(compustat)%>% prettyNum(big.mark = ",")),
       fill = "", y = "", x = "Market Cap (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", compustat_t$p.value %>% round(3))
       ) + 
  facet_wrap("Commented", ncol = 1, scales = "free_y", strip.position = "top")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        legend.position = "none")

Temporarily merging in data where matches are NA

#FIXME 
# TO GET NON-COMMENTERS, WE NEED TO JOIN IN THE OTHERS, BUT WE MIGHT NOT NEED THIS?
# Until the asset data are fixed to include matches in multiple datasets. 
d %<>% left_join(opensecrets %>% dplyr::select(org_name, MeanContribAmount, TotalContribAmount)  ) %>%
  left_join(nonprofit_resources %>% dplyr::select(org_name, assets, revenue) ) %>%
  left_join(compustat %>% dplyr::select(-index) %>% dplyr::select(org_name, marketcap, naics) ) %>% 
  left_join(creditunions %>% dplyr::select(org_name, `Total Assets`))

d %<>% distinct()

##### 
# Instead, just keeping d limited to commenters and using matched data vars 

# requires renaming to align with above (and analysis code below)

# COMBINE matched and unmatched opensecrets 
d %<>% mutate(
  MeanContribAmount = coalesce(
    `opensecrets_resources_jwVersion-bestMatch:MeanContribAmountPerYearContributed`, # matched 
    MeanContribAmount # from opensecrets 
    ),
  TotalContribAmount = coalesce(
    `opensecrets_resources_jwVersion-bestMatch:TotalContribAmount`, # matched 
    TotalContribAmount     # from open secrets 

    )
)


# combine matched and unmatched nonprofits 
d %<>% mutate(
  assets = coalesce(`nonprofits_resources-bestMatch:assets`, #matched
                    assets, # from nonprofits
                    `Total Assets` # from credit unions 
                    ),
  revenue = coalesce(`nonprofits_resources-bestMatch:revenue`, #matched 
                     # from nonprofits
                     revenue)
)

# combine matched and unmatched marketcap
d  %<>% 
  mutate(marketcap = coalesce(
    `CIK-bestMatch:marketcap`, 
    `compustat_resources-bestMatch:marketcap`,
    marketcap),
         marketcap2 = ifelse(str_detect(marketcap, "k"),
                             marketcap %>% str_remove("k") %>% as.numeric() * 1000,
                             marketcap),
         marketcap2 = ifelse(str_detect(marketcap, "M"),
                             marketcap %>% str_remove("M") %>% as.numeric() * 1000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "B"),
                             marketcap %>% str_remove("B") %>% as.numeric() * 1000000000,
                             marketcap2),
         marketcap2 = ifelse(str_detect(marketcap, "T"),
                             marketcap %>% str_remove("T") %>% as.numeric() * 1000000000000,
                             marketcap2),
         marketcap2 = marketcap2 %>% str_remove(",") %>%  as.numeric(marketcap2))

We have market cap for 147 companies that submitted 544 comments.

# fishy
d %>% 
  ggplot() +
  aes(x = marketcap2) + 
  geom_histogram()

d %>% arrange(-marketcap2) %>% count(marketcap, marketcap2, best_match_name, sort = T) %>% filter(!is.na(marketcap))
## # A tibble: 147 × 4
##    marketcap   marketcap2 best_match_name                  n
##    <chr>            <dbl> <chr>                        <int>
##  1 934.476M     934476000 individual investor            108
##  2 2.709B      2709000000 international bancshares        29
##  3 31.111B    31111000000 state street                    29
##  4 81.203B    81203000000 pnc financial services          26
##  5 135.268B  135268000000 american express                18
##  6 26.57M        26570000 diversified mortgage workout    16
##  7 7.662B      7662000000 old republic international      15
##  8 25.473B    25473000000 credit suisse                   12
##  9 157.755B  157755000000 nextera energy                  11
## 10 75.085B    75085000000 chicago mercantile exchange     11
## # … with 137 more rows
# unique(d$marketcap)


Duplicates

(more than one match per comment URL)

Orgs in multiple states were one problem. For example, the API incorporated in DC has $128,273,933 in assets while API in TX has $15,368. Yale University had $27,801,734,697 in assets (must include the endowment), and another Yale University had $4,858,646, both in CT.

d %<>% distinct()
# duplicates
d %>% 
  add_count(comment_url, name = "n_per_url", sort = T) %>% 
  ungroup() %>% 
  filter(n_per_url > 1) %>% distinct() %>% 
  arrange(comment_url) %>%
  kablebox()
docket_id comment_docket_count comment_url comment_agency comment_org_name comment_submitter_name CIK_name CreditUnions_name FDIC_Institutions_name FFIECInstitutions_name SEC_Institutions_name compustat_resources_name nonprofits_resources_name opensecrets_resources_jwVersion_name best_match_name best_match_score best_match_type FDIC_Institutions-bestMatch:ASSET FDIC_Institutions-bestMatch:STNAME CIK-bestMatch:marketcap SEC_Institutions-bestMatch:Ticker compustat_resources-bestMatch:marketcap compustat_resources-bestMatch:naics nonprofits_resources-bestMatch:assets nonprofits_resources-bestMatch:revenue nonprofits_resources-bestMatch:ein opensecrets_resources_jwVersion-bestMatch:MeanContribAmountPerYearContributed opensecrets_resources_jwVersion-bestMatch:TotalContribAmount matches org_name org_type org_resources opensecrets_resources_name org_comments best_match_org_comments marketcap marketcap2 Agency Org_type payday MeanContribAmount TotalContribAmount assets revenue naics Total Assets n_per_url

We solved this by selecting the entry with the highest assets. For example, the API now only matches the API’s DC location.

However, in the prior version of the data, the American Petroleum Institute and Yale University were both matched to nonprofit asset data and to opensecrets. Now, Yale Law has opensecrets data but no asset data, while API has asset data but no campaign donations. Yale University has neither – it is matched in CIK data, but its marketcap is NA, so we now have nothing for it.

d %<>% distinct()

d %>% filter(str_detect(best_match_name, "petroleum inst|yale uni")) %>% # view
  dplyr::select(comment_url, best_match_name, 
         assets, 
         `nonprofits_resources-bestMatch:assets`, 
         `nonprofits_resources-bestMatch:revenue`,
         `nonprofits_resources-bestMatch:ein`,
         opensecrets_resources_name,
         MeanContribAmount,
         CIK_name,
         `CIK-bestMatch:marketcap`) %>% 
  kablebox()
comment_url best_match_name assets nonprofits_resources-bestMatch:assets nonprofits_resources-bestMatch:revenue nonprofits_resources-bestMatch:ein opensecrets_resources_name MeanContribAmount CIK_name CIK-bestMatch:marketcap
https://www.regulations.gov/document?D=CFPB-2016-0020-1966 yale university law school NA NA NA NA yale university law school 494000.0 NA NA
https://www.sec.gov/comments/s7-41-11/s74111-559.pdf yale university 27801734697 NA NA NA NA 128869.6 yale university NA
https://www.sec.gov/comments/s7-39-10/s73910-140.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-16-11/s71611-74.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-42-10/s74210-385.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-42-10/s74210-157.htm american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-42-10/s74210-121.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-42-10/s74210-107.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.sec.gov/comments/s7-42-10/s74210-10.pdf american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://www.federalreserve.gov/SECRS/2012/April/20120425/R-1432/R-1432_041612_107182_560165751973_1.pdf edith b jackson tr 3 10 fbo yale university 861653 861653 82460 846150096 NA NA NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=57399 yale university 27801734697 NA NA NA NA 128869.6 yale university NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=48071 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=58868 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=44655 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=57394 yale university 27801734697 NA NA NA NA 128869.6 yale university NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=57397 yale university 27801734697 NA NA NA NA 128869.6 yale university NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=57398 yale university 27801734697 NA NA NA NA 128869.6 yale university NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=44649 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=60939 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=61116 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=59944 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=59694 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=44650 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=47760 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=26872 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA
https://comments.cftc.gov/PublicComments/ViewComment.aspx?id=33773 american petroleum institute 128273933 128273933 215763439 130433430 NA 306858.0 NA NA

Asset data coverage by docket

is_not_na <- . %>% is.na() %>% isFALSE()


dtable <- d_rin_lookup %>%
  ungroup() %>% 
  full_join(d %>% dplyr::select(docket_id, comment_url, ends_with("_name"))) %>%
  ungroup() %>% 
  # add_count(docket_id) %>% 
  group_by(comment_url) %>% 
  mutate(across(ends_with("name"), is_not_na)) %>% 
  mutate(asset_data_name = sum( CIK_name, CreditUnions_name, FDIC_Institutions_name,    FFIECInstitutions_name, SEC_Institutions_name,  compustat_resources_name,   nonprofits_resources_name) > 0#,
         #unique_orgs_name = org_name %>% unique() %>% length() 
         ) %>% 
  dplyr::select(docket_id, comment_count, comments_matched, lowest.sorted.rin.of.related.rins,related.rins,
         comment_url, ends_with("_name")) %>% 
  distinct() %>% 
  group_by(docket_id, comment_count, comments_matched, lowest.sorted.rin.of.related.rins,related.rins) %>% 
  # tally up matches
  summarise(across(ends_with("name"), sum)) %>% 
  # select vars for table 
  dplyr::select(docket_id,  lowest.sorted.rin.of.related.rins,related.rins, comment_count, comments_matched, asset_data_name,
         #unique_orgs_name,
        nonprofits_resources_name,
         CIK_name, CreditUnions_name, FDIC_Institutions_name,   FFIECInstitutions_name, SEC_Institutions_name,  compustat_resources_name) %>% 
  ungroup() %>%
  distinct() %>% 
  arrange(-asset_data_name) 



sum2 <- . %>% sum(na.rm = TRUE)

dtable %>% summarise(across(where(is.numeric), sum2)) %>% pivot_longer(everything(), names_to = "measure") %>% kable()
measure value
comment_count 328421
comments_matched 38414
asset_data_name 14892
nonprofits_resources_name 6965
CIK_name 4261
CreditUnions_name 2225
FDIC_Institutions_name 1441
FFIECInstitutions_name 0
SEC_Institutions_name 0
compustat_resources_name 0
dtable %>% write_csv(here::here("data", "matches_per_rin.csv"))

Save asset data

#FIXME ideally, all edits to these data would be in clean_match_data
commenter_assets <- d

n_orgs <- d$org_name %>% unique() %>% length()

# + non-commenters 
n_orgs_total <- c(FDIC_resources$org_name,
  nonprofit_resources$org_name,
  opensecrets$org_name,
  compustat$org_name) %>% 
  unique() %>% 
  length()

n_assets <- nrow(d)

save(commenter_assets, 
     n_orgs, n_orgs_total, 
     n_assets,
     n_rules,
     n_actions,
     file = here::here("data", "commenter_assets.Rdata"))

Frequency of participation among organizations that commented

Among commenting organizations, how many rules did each comment on?

asset_counts <- d %>% 
  mutate(assets = org_resources) %>% 
  filter(assets > 10) %>%
  distinct(org_name, docket_id, assets) %>% 
  count(org_name, assets) %>% 
  filter(!is.na(assets)) %>% 
  mutate(nnp = quantile(n, probs = .9),
         assets_m = assets /1000000,
         assets_b = assets_m / 1000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n > nnp)

rules_t <- t.test(asset_counts %>% filter(top) %>% pull(assets),
                  asset_counts %>% filter(!top) %>% pull(assets),)

rules_t
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(assets) and asset_counts %>% filter(!top) %>% pull(assets)
## t = 0.96578, df = 255, p-value = 0.3351
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -81156914 237365060
## sample estimates:
## mean of x mean of y 
## 124862811  46758738
asset_counts %>% 
  ggplot() + 
  aes(x = n,  fill = onepercent) + 
  geom_bar() + 
  labs(title = "Banks and Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       y = "Number of Organizations",
       fill = "Frequency of\nCommenting",
       x = "Dodd-Frank Rules per Organization") #+ scale_y_log10()


asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Banks and Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", 
       x = "Assets (Millions)")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

  

asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Banks and Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", 
       x = "Assets (Millions)")+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())




m_asset_count <- lm(n ~ assets_b, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Rules",
)

attr(rows, 'position') <- c(0)

modelsummary(m_asset_count)
Model 1
Dependent Variable Number of Rules
Assets (in Billions) 0.092
(0.163)
Num.Obs. 3073
Log.Lik. −8902.779
F 0.321
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional 10 billion in assets, an organization comments on about one additional rules.


Among nonprofits that commented on a Dodd-Frank rule

asset_counts <- d %>% 
  mutate(assets = `nonprofits_resources-bestMatch:assets`) %>% 
  filter(assets > 10) %>%
  distinct(org_name, docket_id, assets) %>% 
  count(org_name, assets) %>% 
  filter(!is.na(assets)) %>% 
  mutate(nnp = quantile(n, probs = .9),
         assets_t = assets / 1000,
         assets_m = assets_t /1000,
         assets_b = assets_m / 1000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n > nnp)

asset_counts %>% filter(onepercent == "Top 1%") %>% distinct(n) %>% min()
## [1] Inf
rules_nonprofits_t <- t.test(asset_counts %>% filter(top) %>% pull(assets),
                  asset_counts %>% filter(!top) %>% pull(assets),)

rules_nonprofits_t 
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(assets) and asset_counts %>% filter(!top) %>% pull(assets)
## t = 0.81662, df = 190.24, p-value = 0.4152
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -125865566  303710485
## sample estimates:
## mean of x mean of y 
## 163749078  74826618
asset_counts %>% 
  ggplot() + 
  aes(x = n, fill = onepercent) + 
  geom_bar() + 
  labs(title = "Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       y = "Number of Nonprofits",
       fill = "Frequency of\nCommenting",
       x = "Number of Dodd-Frank Rules") # + scale_y_log10()

asset_counts %>% 
  ggplot() + 
  aes(x = assets_t, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
        fill = "Frequency of\nCommenting", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_nonprofits_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())
  

asset_counts %>% 
  ggplot() + 
  aes(x = assets_t, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Nonprofits" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
        fill = "Frequency of\nCommenting", y = "", x = "Assets (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_nonprofits_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


m_nonprofit_count <- lm(n ~ assets_b, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Dodd-Frank Rules",
)

attr(rows, 'position') <- c(0)

modelsummary(m_nonprofit_count)
Model 1
Dependent Variable Number of Dodd-Frank Rules
Assets (in Billions) 0.026
(0.204)
Num.Obs. 1916
Log.Lik. −5968.465
F 0.016
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional 10 billion in assets, a nonprofit comments on about 0.3 additional rules.


Among FDIC-insured that commented on a Dodd-Frank rule

asset_counts <- d %>% 
  mutate(assets = `FDIC_Institutions-bestMatch:ASSET`) %>% 
  filter(assets > 10) %>%
  distinct(org_name, docket_id, assets) %>% 
  count(org_name, assets) %>% 
  filter(!is.na(assets)) %>% 
  mutate(nnp = quantile(n, probs = .90),
         assets_t = assets /1000,
         assets_m = assets_t /1000,
         assets_b = assets_m / 1000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n>nnp)

rules_fdic_t <- t.test(asset_counts %>% filter(top) %>% pull(assets),
                  asset_counts %>% filter(!top) %>% pull(assets),)

rules_fdic_t 
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(assets) and asset_counts %>% filter(!top) %>% pull(assets)
## t = 1.8089, df = 64.843, p-value = 0.0751
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1046086 21142348
## sample estimates:
## mean of x mean of y 
##  12391761   2343630
asset_counts %>% 
  ggplot() + 
  aes(x = n, fill = onepercent) + 
  geom_bar() + 
  labs(y = "Number of Banks",
       title = "FDIC-Insured Banks" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       x = "Number of Dodd-Frank Rules") #+ scale_y_log10()
  
asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "FDIC-Insured Banks" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", x = "Assets (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_fdic_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "FDIC-Insured Banks" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", x = "Assets (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_fdic_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


m_fdic_count <- lm(n ~ assets_b, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Dodd-Frank Rules"
  )

attr(rows, 'position') <- c(0)

modelsummary(list(m_fdic_count))
Model 1
Dependent Variable Number of Dodd-Frank Rules
Assets (in Billions) 12.054***
(1.963)
Num.Obs. 1157
Log.Lik. −1850.961
F 37.726
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional 10 billion in assets, a nonprofit comments on about 121 additional rules.


Among credit unions that commented on a Dodd-Frank rule

asset_counts <- d %>% 
  mutate(assets = `Total Assets`) %>% # credit union call reports Total Assets
  filter(assets > 10, !is.na(assets)) %>%
  distinct(org_name, docket_id, assets) %>% 
  count(org_name, assets) %>% 
  mutate(nnp = quantile(n, probs = .9),
         assets_t = assets /1000,
         assets_m = assets_t /1000,
         assets_b = assets_m / 1000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n>nnp)

rules_creditunion_t <- t.test(asset_counts %>% filter(top) %>% pull(assets),
                  asset_counts %>% filter(!top) %>% pull(assets),)

rules_creditunion_t
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(assets) and asset_counts %>% filter(!top) %>% pull(assets)
## t = 1.0263, df = 6.0005, p-value = 0.3443
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -15139078917  37013547967
## sample estimates:
##   mean of x   mean of y 
## 11252832350   315597825
asset_counts %>% 
  ggplot() + 
  aes(x = n, fill = onepercent) + 
  geom_bar() + 
  labs(y = "Number of Credit Unions",
       title = "Credit Unions" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       x = "Number of Dodd-Frank Rules") #+ scale_y_log10()
  
asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Credit Unions" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", x = "Assets (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_creditunion_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())

asset_counts %>% 
  ggplot() + 
  aes(x = assets_m, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Credit Unions" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       y = "", x = "Assets (Millions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_creditunion_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


m_creditunion_count <- lm(n ~ assets_b, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Dodd-Frank Rules"
  )

attr(rows, 'position') <- c(0)

modelsummary(list(m_creditunion_count))
Model 1
Dependent Variable Number of Dodd-Frank Rules
Assets (in Billions) 0.232***
(0.050)
Num.Obs. 99
Log.Lik. −270.410
F 21.253
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional billion in assets, a credit union comments on about two additional rules.


Among publicly-traded companies that commented on a Dodd-Frank rule

# compustat-rules


# combine and count 
asset_counts <- d %>% 
  mutate(marketcap = marketcap2) %>% 
  filter(marketcap > 10) %>%
  distinct(org_name, docket_id, marketcap) %>% 
  count(org_name, marketcap) %>% 
  filter(!is.na(marketcap)) %>% 
  mutate(nnp = quantile(n, probs = .9),
         marketcap_t = marketcap /1000,
         marketcap_m = marketcap_t /1000,
         marketcap_b = marketcap_m / 1000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n > nnp)


rules_compustat_t <- t.test(asset_counts %>% filter(top) %>% pull(marketcap),
                  asset_counts %>% filter(!top) %>% pull(marketcap),)

rules_compustat_t 
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(marketcap) and asset_counts %>% filter(!top) %>% pull(marketcap)
## t = 1.5462, df = 16.991, p-value = 0.1405
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -9039309321 58622540059
## sample estimates:
##   mean of x   mean of y 
## 57654583333 32862967964
asset_counts %>% 
  ggplot() + 
  aes(x = n, fill = onepercent) + 
  geom_bar() + 
  labs(y = "Number of Companies",
       title = "Publicly-Traded Companies" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting",
       x = "Number of Dodd-Frank Rules") #+ scale_y_log10()
  
asset_counts %>% 
  ggplot() + 
  aes(x = marketcap_b, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Publicly-Traded Companies" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting", y = "", x = "Market Cap (Billions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_compustat_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


asset_counts %>% 
  ggplot() + 
  aes(x = marketcap_b, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Publicly-Traded Companies" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       fill = "Frequency of\nCommenting", y = "", x = "Market Cap (Billions)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_compustat_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


m_compustat_count <- lm(n ~ marketcap_b, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Dodd-Frank Rules"
  )

attr(rows, 'position') <- c(0)

modelsummary(list(m_compustat_count))
Model 1
Dependent Variable Number of Dodd-Frank Rules
Market Capitalization (Billions) 0.003
(0.004)
Num.Obs. 147
Log.Lik. −408.365
F 0.557
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional 10 billion in assets, a nonprofit comments on about zero additional rules.


Among campaign donors that commented on a Dodd-Frank rule

asset_counts <- d %>% 
  mutate(donations = `opensecrets_resources_jwVersion-bestMatch:MeanContribAmountPerYearContributed`) %>% 
  filter(donations > 10) %>%
  distinct(org_name, docket_id, donations) %>% 
  count(org_name, donations) %>% 
  filter(!is.na(donations)) %>% 
  mutate(nnp = quantile(n, probs = .9),
         donations_m = donations / 1000000,
         onepercent = ifelse(n > nnp, "Top 10%", "Bottom 90%"),
         five = ifelse(n < 5, "<5 Rules", "5 or More Rules"),
         top = n>nnp)

rules_pac_t <- t.test(asset_counts %>% filter(top) %>% pull(donations),
                  asset_counts %>% filter(!top) %>% pull(donations),)

rules_pac_t 
## 
##  Welch Two Sample t-test
## 
## data:  asset_counts %>% filter(top) %>% pull(donations) and asset_counts %>% filter(!top) %>% pull(donations)
## t = 1.1755, df = 17.041, p-value = 0.256
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -4360184 15335671
## sample estimates:
## mean of x mean of y 
## 6402408.7  914665.5
asset_counts %>% 
  ggplot() + 
  aes(x = n, fill = onepercent) + 
  geom_bar() + 
  labs(title = "Campaign Donors" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
       y = "Number of Organizations",
        fill = "Frequency of\nCommenting",
       x = "Number of Dodd-Frank Rules") #+ scale_y_log10()
  

asset_counts %>% 
  ggplot() + 
  aes(x = donations_m, fill = five) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Campaign Donors" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
        fill = "Frequency of\nCommenting", 
       y = "", x = "PAC Donations (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_pac_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


asset_counts %>% 
  ggplot() + 
  aes(x = donations_m, fill = onepercent) + 
  geom_density(alpha = .5, color = NA) + 
  scale_x_log10() + 
  labs(title = "Campaign Donors" %>% str_c(", N = ", nrow(asset_counts) %>% prettyNum(big.mark = ",")),
        fill = "Frequency of\nCommenting", 
       y = "", x = "PAC Donations (Thousands)",
       caption = str_c("Welch t-test of difference in means, p = ", rules_pac_t$p.value %>% round(3)))+
  theme(panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        axis.text.y = element_blank())


m_opensecrets_count <- lm(n ~ donations_m, data = asset_counts)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Number of Dodd-Frank Rules",
)

attr(rows, 'position') <- c(0)

modelsummary(m_opensecrets_count)
Model 1
Dependent Variable Number of Dodd-Frank Rules
Campaign Donations (Millions) 0.335***
(0.077)
Num.Obs. 205
Log.Lik. −685.648
F 18.983
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

For every additional 10 million in Political Action Committee campaing donations, an organization comments on about three additional rules.


All

models <- list(#`All` = m_asset_count, 
               `Non-profits` = m_nonprofit_count,
               `Credit Unions`= m_creditunion_count,
               `Public Companies` = m_compustat_count,
               `Banks` = m_fdic_count,
               `PAC Donors` = m_opensecrets_count)

rows <- tibble(
  term = c("Dependent Variable"),
  #`All` = "Number of Rules",
      `Nonprofits` = "Number of Rules",
  `Credit Unions`= "Number of Rules",
  `Public Companies` = "Number of Rules",
  `Banks` = "Number of Rules",
    `PAC Donors` = "Number of Rules",
  )

attr(rows, 'position') <- c(0)


modelsummary(models)
Non-profits Credit Unions Public Companies Banks PAC Donors
Dependent Variable Number of Rules Number of Rules Number of Rules Number of Rules Number of Rules
Assets (in Billions) 0.026 0.232*** 12.054***
(0.204) (0.050) (1.963)
Market Capitalization (Billions) 0.003
(0.004)
Campaign Donations (Millions) 0.335***
(0.077)
Num.Obs. 1916 99 147 1157 205
Log.Lik. −5968.465 −270.410 −408.365 −1850.961 −685.648
F 0.016 21.253 0.557 37.726 18.983
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
save(models, rows, cm, gof_map, modelsummary,
     file = here::here("models", "rules-by-assets.Rdata"))

Comments per rule

Percent of comments by each organization type on any one rule

# comments 
# of the matched sample 
# 90% of credit union comments, half of the nonprofits, and 75% campaig
d %>% 
  mutate(docket_id = str_split(docket_id, ";")) %>% 
  unnest(docket_id) %>% 
    add_count(org_type, name = "dataset_total") %>% 
  count(org_type, docket_id, dataset_total, sort = T) %>%
  mutate(percent = percent( n / dataset_total , accuracy = 1)) %>% 
  kablebox()
org_type docket_id dataset_total n percent
OpenSecrets CFPB-2016-0025 4396 2807 64%
Credit Union CFPB-2016-0025 2293 2009 88%
Nonprofit CFPB-2016-0025 7701 1416 18%
FDIC R-1442 2386 727 30%
Nonprofit CFPB-2012-0028 7701 449 6%
CIK CFPB-2012-0028 4693 439 9%
Nonprofit CFTC-2011-0013 7701 295 4%
Nonprofit S7-45-10 7701 295 4%
CIK CFTC-2011-0013 4693 276 6%
CIK CFPB-2016-0025 4693 256 5%
Nonprofit R-1404 7701 254 3%
FDIC CFPB-2012-0028 2386 229 10%
Nonprofit R-1411 7701 216 3%
CIK CFPB-2013-0002 4693 207 4%
FDIC R-1404 2386 207 9%
CIK CFPB-2012-0037 4693 178 4%
FDIC CFPB-2019-0021 2386 167 7%
FDIC CFPB-2013-0002 2386 157 7%
Nonprofit S7-14-11 7701 153 2%
Nonprofit CFPB-2013-0002 7701 144 2%
Nonprofit R-1442 7701 133 2%
CIK R-1442 4693 123 3%
FDIC CFPB-2014-0019 2386 119 5%
OpenSecrets CFPB-2012-0028 4396 114 3%
Nonprofit CFTC-2013-0107 7701 113 1%
CIK R-1404 4693 111 2%
Nonprofit CFPB-2011-0008 7701 109 1%
Nonprofit CFPB-2019-0022 7701 108 1%
Nonprofit CFPB-2014-0019 7701 103 1%
Nonprofit R-1432 7701 100 1%
Nonprofit CFPB-2012-0037 7701 98 1%
CIK R-1432 4693 97 2%
FDIC CFPB-2016-0025 2386 97 4%
CIK R-1411 4693 95 2%
CIK S7-41-11 4693 95 2%
CIK S7-45-10 4693 93 2%
Nonprofit S7-40-10 7701 87 1%
Nonprofit CFPB-2016-0020 7701 86 1%
Nonprofit R-1417_V1 7701 85 1%
CIK S7-14-11 4693 82 2%
OpenSecrets S7-45-10 4396 82 2%
Nonprofit CFPB-2013-0018 7701 80 1%
CIK CFTC-2010-0115 4693 79 2%
CIK CFTC-2012-0058 4693 79 2%
Nonprofit CFTC-2010-0196 7701 75 1%
Nonprofit CFPB-2013-0033 7701 74 1%
CIK CFTC-2013-0107 4693 72 2%
OpenSecrets CFTC-2011-0013 4396 70 2%
Nonprofit S7-41-11 7701 68 1%
CIK CFTC-2011-0049 4693 67 1%
Nonprofit CFPB-2012-0034 7701 66 1%
Nonprofit CFPB-2015-0029 7701 66 1%
CIK R-1417_V1 4693 65 1%
Nonprofit CFPB-2012-0033 7701 65 1%
CIK S7-08-12 4693 64 1%
Nonprofit CFPB-2014-0033 7701 64 1%
Nonprofit R-1394_V1 7701 64 1%
CIK CFPB-2013-0018 4693 63 1%
CIK CFPB-2011-0008 4693 62 1%
Nonprofit CFTC-2012-0058 7701 62 1%
CIK S7-08-10 4693 61 1%
Nonprofit CFTC-2011-0049 7701 61 1%
Nonprofit S7-08-10 7701 60 1%
Nonprofit CFPB-2012-0029 7701 59 1%
OpenSecrets S7-14-11 4396 59 1%
CIK S7-06-13 4693 57 1%
FDIC CFPB-2012-0029 2386 56 2%
Nonprofit CFPB-2011-0002 7701 54 1%
OpenSecrets S7-41-11 4396 52 1%
Nonprofit CFPB-2016-0038 7701 51 1%
CIK CFPB-2016-0038 4693 49 1%
OpenSecrets CFTC-2010-0196 4396 49 1%
CIK R-1438 4693 48 1%
OpenSecrets R-1411 4396 47 1%
CIK CFTC-2011-0003 4693 45 1%
Nonprofit R-1438 7701 45 1%
CIK R-1394_V1 4693 44 1%
Nonprofit CFPB-2012-0022 7701 44 1%
Nonprofit S7-06-13 7701 44 1%
CIK S7-12-10 4693 43 1%
Credit Union R-1404 2293 43 2%
OpenSecrets R-1432 4396 43 1%
FDIC CFPB-2012-0037 2386 42 2%
Nonprofit S7-08-12 7701 42 1%
Nonprofit S7-42-10 7701 42 1%
CIK S7-03-13 4693 41 1%
FDIC S7-45-10 2386 41 2%
Nonprofit CFPB-2014-0009 7701 41 1%
Nonprofit CFPB-2012-0050 7701 40 1%
Nonprofit CFTC-2010-0140 7701 40 1%
CIK CFTC-2012-0019 4693 39 1%
CIK S7-07-13 4693 39 1%
Nonprofit CFPB-2013-0013 7701 39 1%
Nonprofit CFPB-2019-0021 7701 39 1%
Nonprofit S7-07-13 7701 39 1%
CIK S7-40-10 4693 38 1%
OpenSecrets CFTC-2013-0107 4396 37 1%
OpenSecrets R-1404 4396 37 1%
CIK S7-18-08 4693 36 1%
OpenSecrets R-1442 4396 36 1%

Percent of each organization type on any one rule

# orgs (15% of nonprofits on payday loan rule, 30% of opensecrets)
d %>% 
 mutate(docket_id = str_split(docket_id, ";")) %>% 
  unnest(docket_id) %>% 
  # org rather than comment level counts now
  distinct(org_name, docket_id, org_type) %>% 
  # total orgs of each type  in the dataset 
  add_count(org_type, name = "dataset_total") %>% 
  # number of each org type by docket 
  count(org_type, docket_id, `dataset_total`, sort = T) %>%
  mutate(percent = percent( n / dataset_total , accuracy = 1)) %>% 
  kablebox()
org_type docket_id dataset_total n percent
FDIC R-1442 1808 513 28%
Nonprofit CFPB-2016-0025 5519 488 9%
Nonprofit S7-45-10 5519 272 5%
Nonprofit CFPB-2012-0028 5519 269 5%
Nonprofit CFTC-2011-0013 5519 221 4%
CIK CFPB-2012-0028 3450 200 6%
Nonprofit R-1404 5519 195 4%
FDIC R-1404 1808 176 10%
Nonprofit R-1411 5519 157 3%
CIK CFTC-2011-0013 3450 151 4%
CIK CFPB-2013-0002 3450 140 4%
FDIC CFPB-2012-0028 1808 134 7%
Nonprofit CFPB-2013-0002 5519 121 2%
FDIC CFPB-2019-0021 1808 116 6%
Nonprofit S7-14-11 5519 114 2%
FDIC CFPB-2013-0002 1808 113 6%
CIK CFPB-2012-0037 3450 112 3%
CIK R-1442 3450 104 3%
CIK R-1404 3450 102 3%
Nonprofit CFPB-2014-0019 5519 102 2%
FDIC CFPB-2014-0019 1808 95 5%
OpenSecrets CFPB-2016-0025 1166 95 8%
CIK CFPB-2016-0025 3450 89 3%
Nonprofit CFPB-2012-0037 5519 89 2%
Nonprofit R-1442 5519 88 2%
CIK S7-45-10 3450 85 2%
Nonprofit CFPB-2019-0022 5519 85 2%
CIK R-1432 3450 82 2%
Nonprofit CFPB-2016-0020 5519 82 1%
Nonprofit CFPB-2011-0008 5519 80 1%
CIK S7-41-11 3450 79 2%
CIK R-1411 3450 76 2%
Nonprofit R-1417_V1 5519 76 1%
Nonprofit CFPB-2013-0033 5519 73 1%
Nonprofit R-1432 5519 68 1%
OpenSecrets S7-45-10 1166 68 6%
CIK CFTC-2010-0115 3450 66 2%
Nonprofit CFTC-2010-0196 5519 65 1%
CIK S7-14-11 3450 63 2%
Nonprofit S7-40-10 5519 63 1%
Nonprofit CFTC-2013-0107 5519 62 1%
CIK CFTC-2012-0058 3450 61 2%
CIK R-1417_V1 3450 61 2%
Nonprofit CFPB-2012-0034 5519 61 1%
Nonprofit CFPB-2015-0029 5519 61 1%
Nonprofit CFPB-2012-0033 5519 59 1%
Nonprofit CFPB-2013-0018 5519 59 1%
CIK CFPB-2011-0008 3450 53 2%
Nonprofit S7-41-11 5519 51 1%
CIK CFPB-2013-0018 3450 50 1%
FDIC CFPB-2012-0029 1808 50 3%
FDIC CFPB-2016-0025 1808 50 3%
Nonprofit CFPB-2011-0002 5519 50 1%
Nonprofit CFPB-2016-0038 5519 49 1%
CIK CFTC-2011-0049 3450 48 1%
CIK CFTC-2013-0107 3450 48 1%
Nonprofit CFPB-2012-0029 5519 48 1%
Nonprofit R-1394_V1 5519 48 1%
Nonprofit CFPB-2014-0033 5519 46 1%
CIK R-1438 3450 43 1%
OpenSecrets CFTC-2011-0013 1166 43 4%
CIK R-1394_V1 3450 42 1%
OpenSecrets CFPB-2012-0028 1166 42 4%
Nonprofit CFTC-2012-0058 5519 41 1%
CIK S7-08-10 3450 40 1%
Nonprofit CFPB-2012-0022 5519 40 1%
FDIC S7-45-10 1808 39 2%
CIK S7-07-13 3450 37 1%
Nonprofit CFPB-2019-0021 5519 37 1%
CIK S7-03-13 3450 36 1%
Nonprofit S7-06-13 5519 36 1%
Nonprofit S7-07-13 5519 36 1%
CIK S7-06-13 3450 35 1%
Nonprofit CFTC-2011-0049 5519 35 1%
Nonprofit CFPB-2013-0013 5519 34 1%
Nonprofit S7-03-13 5519 34 1%
FDIC CFPB-2012-0037 1808 33 2%
Nonprofit R-1438 5519 33 1%
Nonprofit S7-08-10 5519 33 1%
CIK S7-37-10 3450 32 1%
Nonprofit CFTC-2010-0115 5519 32 1%
Nonprofit S7-33-10 5519 32 1%
CIK CFPB-2016-0038 3450 31 1%
CIK CFTC-2012-0019 3450 31 1%
Nonprofit Incentive-based Compensation Arrangements 5519 31 1%
CIK CFTC-2011-0003 3450 30 1%
CIK S7-40-10 3450 30 1%
Credit Union CFPB-2016-0025 237 30 13%
Credit Union R-1404 237 30 13%
Nonprofit CFPB-2012-0050 5519 30 1%
Nonprofit CFPB-2014-0009 5519 30 1%
CIK S7-18-08 3450 29 1%
Nonprofit CFPB-2014-0010 5519 29 1%
CIK CFTC-2010-0196 3450 28 1%
Nonprofit CFPB-2011-0009 5519 28 1%
Nonprofit CFTC-2010-0140 5519 28 1%
OpenSecrets R-1404 1166 28 2%
CIK S7-12-10 3450 27 1%
FDIC CFPB-2012-0033 1808 27 1%
Nonprofit S7-42-10 5519 27 0%

Most Frequently Commenting Orgs

# 
d %>% 
  # filter(comment_agency == "CFPB") %>% 
  # mutate(docket_id = comment_url %>% str_extract("CFPB-[0-9]*-[0-9]*")) %>% 
  count(org_name, best_match_name, org_type, docket_id, sort = T) %>% kablebox()
org_name best_match_name org_type docket_id n
advance financial advance financial Credit Union CFPB-2016-0025 1966
axcess financial services axcess financial services OpenSecrets CFPB-2016-0025 1928
cash express cash express OpenSecrets CFPB-2016-0025 536
peoples action institute peoples action institute Nonprofit CFPB-2016-0025 205
cooperative baptist fellowship florida cooperative baptist fellowship florida Nonprofit CFPB-2016-0025 142
amscot financial amscot financial OpenSecrets CFPB-2016-0025 112
individual investor individual investor CIK CFTC-2011-0013 103
virginia organizing virginia organizing Nonprofit CFPB-2016-0025 102
national council la raza national council la raza Nonprofit CFPB-2016-0025 86
check cash check cash CIK CFPB-2016-0025 79
edina realty foundation edina realty foundation Nonprofit CFPB-2012-0028 65
maryland consumer rights coalition maryland consumer rights coalition Nonprofit CFPB-2016-0025 51
communities united action communities united action Nonprofit CFPB-2016-0025 47
americans financial reform americans financial reform OpenSecrets CFTC-2010-0196 44
community choice financial community choice financial CIK CFPB-2016-0025 40
illinois peoples action illinois peoples action Nonprofit CFPB-2016-0025 36
montana hope project montana hope project Nonprofit CFPB-2016-0025 34
north american title north american title CIK CFPB-2012-0028 31
united bank michigan united bank michigan FDIC CFPB-2016-0025 30
united states bowing congress united states bowing congress Nonprofit R-1442 30
citizen action new jersey citizen action new jersey Nonprofit CFPB-2016-0025 29
c2 financial c2 financial CIK CFPB-2013-0002 28
c2 financial c2 financial CIK CFPB-2012-0037 27
fund virginia organizing project fund virginia organizing project Nonprofit CFPB-2016-0025 25
public startup public startup CIK S7-06-13 22
us house representatives us house representatives OpenSecrets S7-14-11 21
concerned citizen riverside concerned citizen riverside Nonprofit CFTC-2011-0013 20
highland lakes bank highland lakes bank FDIC CFPB-2012-0028 20
land title guarantee land title guarantee OpenSecrets CFPB-2012-0028 20
mi financial mi financial CIK CFPB-2012-0028 20
americans financial reform americans financial reform OpenSecrets CFTC-2011-0013 19
mississippi state senate mississippi state senate OpenSecrets CFPB-2016-0025 18
south carolina house representatives south carolina house representatives OpenSecrets CFPB-2016-0025 18
southwest center economic integrity southwest center economic integrity Nonprofit CFPB-2016-0025 18
united states senate united states senate Credit Union R-1432 18
mi financial mi financial CIK CFPB-2012-0029 17
wispirg foundation wispirg foundation Nonprofit CFPB-2016-0025 17
american pacific bank american pacific bank FDIC CFPB-2012-0028 15
first american title insurance first american title insurance OpenSecrets CFPB-2012-0028 15
old republic international old republic international CIK CFPB-2012-0028 15
southern homes title closing services southern homes title closing services CIK CFPB-2012-0028 15
diversified mortgage workout diversified mortgage workout CIK CFPB-2012-0037 14
investment company institute investment company institute CIK S7-08-12 14
peoples action peoples action Nonprofit CFPB-2016-0025 14
united states bowing congress united states bowing congress Nonprofit R-1432 14
coldwell banker coldwell banker CIK CFPB-2016-0038 13
first western bank first western bank FDIC CFPB-2012-0028 13
appraisal institute appraisal institute Nonprofit R-1394_V1 12
first state bank first state bank FDIC R-1442 12
morgan stanley morgan stanley CIK S7-08-12 12
texas land title association texas land title association Nonprofit CFPB-2012-0028 12
1st advantage bank 1st advantage bank FDIC CFPB-2013-0002 11
center responsible lending center responsible lending Nonprofit CFPB-2016-0025 11
consumer mortgage coalition consumer mortgage coalition Nonprofit CFPB-2014-0033 11
ice futures us ice futures us OpenSecrets CFTC-2013-0107 11
independent finance institute independent finance institute Nonprofit CFPB-2016-0025 11
international swaps derivatives association international swaps derivatives association Nonprofit S7-08-12 11
managed funds association managed funds association Nonprofit S7-08-12 11
meridian title escrow meridian title escrow CIK CFPB-2012-0028 11
midland area agency on aging midland area agency on aging Nonprofit CFPB-2012-0028 11
mississippi house representatives mississippi house representatives OpenSecrets CFPB-2016-0025 11
oklahoma house representatives oklahoma house representatives OpenSecrets CFPB-2016-0025 11
silver lake investors silver lake investors CIK CFTC-2011-0013 11
americans financial reform americans financial reform OpenSecrets R-1410 10
c2 financial c2 financial CIK CFPB-2012-0028 10
citizen impact usa citizen impact usa Nonprofit CFTC-2011-0013 10
equity title messenger service equity title messenger service CIK CFPB-2012-0028 10
new economy project new economy project CIK CFPB-2016-0025 10
united states senate united states senate Credit Union R-1442 10
us chamber commerce us chamber commerce OpenSecrets S7-41-11 10
virginia house delegates virginia house delegates OpenSecrets CFPB-2016-0025 10
americans financial reform americans financial reform OpenSecrets S7-12-11 9
beacon title agency beacon title agency CIK CFPB-2012-0028 9
commodity market council commodity market council Nonprofit CFTC-2013-0107 9
investment company institute investment company institute CIK S7-12-10 9
oregon food bank oregon food bank Nonprofit CFPB-2016-0025 9
peoples bank peoples bank FDIC R-1442 9
securities industry financial markets association securities industry financial markets association CIK S7-08-12 9
stewart title guaranty stewart title guaranty OpenSecrets CFPB-2012-0028 9
texas appleseed texas appleseed Nonprofit CFPB-2016-0025 9
title security agency title security agency OpenSecrets CFPB-2012-0028 9
united states senate united states senate Credit Union CFTC-2012-0019 9
us chamber commerce us chamber commerce OpenSecrets CFTC-2012-0019 9
us senate us senate OpenSecrets R-1411 9
aca international aca international Nonprofit CFPB-2019-0022 8
american financial american financial CIK CFPB-2016-0025 8
central wv center pregnancy care central wv center pregnancy care Nonprofit CFPB-2016-0025 8
d l evans bank d l evans bank FDIC CFPB-2014-0019 8
gulf coast chapter national electri cal contractors assoc gulf coast chapter national electri cal contractors assoc Nonprofit CFPB-2013-0018 8
home loan savings bank home loan savings bank FDIC R-1442 8
loan syndications trading association loan syndications trading association Nonprofit R-1411 8
lsi title agency lsi title agency CIK CFPB-2012-0028 8
national association realtors national association realtors Nonprofit CFPB-2011-0008 8
natural gas supply association natural gas supply association Nonprofit CFTC-2013-0107 8
peoples financial realty mortgage securities 20061 peoples financial realty mortgage securities 20061 CIK CFPB-2017-0018 8
runyan paul l runyan paul l CIK CFPB-2012-0028 8
treasure valley land treasure valley land CIK CFPB-2012-0028 8
us house representatives us house representatives OpenSecrets S7-41-11 8
us senate us senate OpenSecrets S7-14-11 8
american securitization forum american securitization forum OpenSecrets S7-08-10 7

Probability of Commenting

These models have the prefix mp_. The dependent variable is the probability that the organization comments.

FDIC-insured Banks

SM = Comptroller of the Currency (OCC). National Charter and a Fed member.

NM = Commercial Bank. The bank is supervised by the Federal Deposit Insurance Corporation (FDIC). State charter and Fed non-member

SB = Savings Bank. The bank is supervised by the Federal Deposit Insurance Corporation (FDIC). State Charter.

OI = Bank is an insured United States branch of a foreign chartered institution (IBA)

N = National Associations (Ommitted)

Assets in hundreds of millions

# FDIC_resources %>% filter(BKCLASS == "NM")


FDIC_resources %<>% mutate(Class = str_c(" ", BKCLASS) %>% as.factor() ,
                           ASSETS = ASSET/100000000,
                           Assets = ASSET/1000000000) 

# make savings associations the ref category 
FDIC_resources$Class %<>% relevel(ref = " SA")
# %>% 
#   mutate(BKCLASS = BKCLASS %>% str_replace("^NM", "SBNM"))  %>% 
#   mutate(BKCLASS = BKCLASS %>% str_replace("^NM", "SBNM"))

unique(FDIC_resources$BKCLASS)
## [1] "NM" "SM" "SA" "SB"
unique(FDIC_resources$Class)
## [1]  NM  SM  SA  SB
## Levels:  SA  NM  SB  SM
#mpFDIC
mpFDICbillions <- glm(commented ~ Assets,
           data = FDIC_resources, 
             family=binomial(link="logit"))

mpFDIC <- glm(commented ~ ASSETS,
           data = FDIC_resources, 
             family=binomial(link="logit"))

mpFDIC_BKCLASSonly <- glm(commented ~ Class,
           data = FDIC_resources, 
             family=binomial(link="logit"))

mpFDIC_BKCLASS <- glm(commented ~ ASSETS + Class,
           data = FDIC_resources, 
             family=binomial(link="logit"))

mpFDICxBKCLASS <- glm(commented ~ ASSETS*Class,
           data = FDIC_resources, 
             family=binomial(link="logit"))


rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Comment",
  `2` = "Comment",  
  #`3` = "Comment"
)

attr(rows, 'position') <- c(0)

models <- list(mpFDIC,# mpFDIC_BKCLASSonly,
               mpFDIC_BKCLASS#,
               #mpFDICxBKCLASS
               )

equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{ASSETS}) \]

modelsummary(models)
Model 1 Model 2
Dependent Variable Comment Comment
Assets (Hundreds of Millions) 0.904*** 0.992***
(0.267) (0.272)
Commercial Bank 1.393***
(0.095)
Savings Bank 1.200***
(0.145)
State Bank 1.486***
(0.107)
Num.Obs. 19082 19082
Log.Lik. −6418.955 −6255.521
F 11.449 59.705
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
modelplot(models[1:2]) +
  labs(title  = "FDIC-Insured Banks",
x = "Change in Log Odds of Commenting",
caption = "Reference Category = Savings Associations") +
  theme(panel.grid.major.x =  element_blank(),
        panel.grid.major.y =  element_blank()) + 
  scale_color_viridis_d(end = .6)


save(models, rows, cm, gof_map, modelsummary,
     file = here::here("models", "mpFDIC.Rdata"))

Nonprofits

Assets in billions

nonprofit_resources %<>% mutate(Assets = assets/1000000000)

mpNonprofit <- glm(commented ~ Assets,
           data = nonprofit_resources , 
             family=binomial(link="logit"))

mpNonprofit_revenue <- glm(commented ~ Assets + revenue,
           data = nonprofit_resources, 
             family=binomial(link="logit"))

models <- list(mpNonprofit, mpNonprofit_revenue)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Comment",
  `2` = "Comment",  
)

equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{Assets}) \]

modelsummary(models)
Model 1 Model 2
Assets (Billions) 0.146*** 0.129***
(0.027) (0.026)
revenue 0.000*
(0.000)
Num.Obs. 464509 464509
Log.Lik. −5416.122 −5414.879
F 28.634
Dependent Variable Comment Comment
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
modelplot(models)+ 
  theme(panel.grid.major.x =  element_blank()) + 
  labs(x = "Change in Log Odds of Commenting")

Credit Unions

Assets in billions

creditunions %<>% mutate(Assets = assets/100000000)


mp_creditunions <- glm(commented ~ Assets,
           data = creditunions, 
             family=binomial(link="logit"))

models <- list(mp_creditunions)


rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Commented",
)

attr(rows, 'position') <- c(0)

equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{Assets}) \]

modelsummary(models)
Model 1
Dependent Variable Commented
Assets (Billions) 0.010*
(0.004)
Num.Obs. 5842
Log.Lik. −497.095
F 5.158
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
modelplot(models)+ 
  theme(panel.grid.major.x =  element_blank()) + 
  labs(x = "Change in Log Odds of Commenting per Billion in Assets")

Banks, Nonprofits, Credit Unions Compared

# nonprofit-credit-unions
models <- list(mpFDICbillions, mpNonprofit, mp_creditunions)

names(models) <- c("FDIC-Insured Banks", "Nonprofits", "Credit Unions")


modelplot(models) + 
  theme(panel.grid.major.x =  element_blank()) + 
  labs(x = "Change in Log Odds of Commenting per Billion in Assets") +
  facet_wrap("model", scales = "free", ncol = 1) +
  scale_color_viridis_d(option = "plasma", end = .7)


rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Commented",
  `2` = "Commented",
  `3` = "Commented"
)

attr(rows, 'position') <- c(0)

modelsummary(models)
FDIC-Insured Banks Nonprofits Credit Unions
Dependent Variable Commented Commented Commented
Assets (Billions) 9.040*** 0.146*** 0.010*
(2.672) (0.027) (0.004)
Num.Obs. 19082 464509 5842
Log.Lik. −6418.955 −5416.122 −497.095
F 11.449 28.634 5.158
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
save(models, rows, cm, gof_map, modelsummary, 
     file = here::here("models", "pr-of-comment.Rdata"))

Campaign Donors

opensecrets %<>% mutate(commented = Commented == "Commented")

mpOpensecrets <- glm(commented ~ MeanContribAmount,
           data = opensecrets, 
             family=binomial(link="logit"))

mpOpensecrets_total <- glm(commented ~ TotalContribAmount,
           data = opensecrets, 
             family=binomial(link="logit"))

models <- list(mpOpensecrets, mpOpensecrets_total)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Commented",
  `2` = "Commented"
)

attr(rows, 'position') <- c(0)


equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{MeanContribAmount}) \]

modelsummary(models)
Model 1 Model 2
Dependent Variable Commented Commented
PAC Donations 0.000
(0.000)
TotalContribAmount 0.000
(0.000)
Num.Obs. 7821 7821
Log.Lik. −1338.866 −1339.288
F 1.183 0.055
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
# modelplot(models)

By Market Cap

compustat %<>% mutate(commented = Commented == "Commented",
                      marketcap_b = marketcap2/1000000000)


mpCompustat <- glm(commented ~ marketcap_b,
           data = compustat, 
             family=binomial(link="logit"))

top_naics <- compustat %>% count(naics, sort = T) %>% 
  drop_na(naics) %>% 
  top_n(10, wt = n) %>% 
  pull(naics)

mpCompustat_naics <- glm(commented ~ NAICS_,
           data = compustat %>% mutate(NAICS_ = ifelse(naics %in% top_naics, naics, "other")), 
             family=binomial(link="logit"))

models <- list(mpCompustat, mpCompustat_naics)

equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{marketcap\_b}) \]

modelsummary(models)
Model 1 Model 2
Dependent Variable Commented Commented
Market Capitalization (Billions) 0.002+
(0.001)
NAICS_212 0.000
(4536.970)
NAICS_212221 0.000
(4708.201)
NAICS_325412 0.000
(4722.595)
NAICS_325414 0.000
(4099.266)
NAICS_511210 0.000
(5026.762)
NAICS_519130 0.000
(4595.793)
NAICS_522110 18.802
(3111.048)
NAICS_525990 0.000
(3937.047)
NAICS_531120 0.000
(5058.525)
NAICS_other 16.581
(3111.048)
Num.Obs. 6426 6426
Log.Lik. −128.831 −112.837
F 3.398 2.306
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
#modelplot(models)

 modelplot(mpCompustat)
 
# modelplot(mpCompustat_naics)

Together

all <- full_join(
  FDIC_resources %>% dplyr::select(assets = ASSET, commented, org_type = Class) %>% mutate(org_type = "Bank"),
  nonprofit_resources %>% dplyr::select(assets, commented) %>% mutate(org_type = "Non-profit")
) %>% 
  full_join(
  creditunions %>% dplyr::select(assets, commented) %>% mutate(org_type = "Credit union")
  )

all %<>% mutate(assets_b = assets  / 100000000) # %>% filter(org_type != " SB", org_type != " SM")

mpAll <- glm(commented ~ assets_b + org_type,
           data = all, 
             family=binomial(link="logit"))

mpAlli <- glm(commented ~ assets_b * org_type,
           data = all, 
             family=binomial(link="logit"))


models <- list(mpAll, mpAlli)

rows <- tibble(
  term = c("Dependent Variable"),
  `1` = "Commented",
  `2` = "Commented"
)

attr(rows, 'position') <- c(0)

equatiomatic::extract_eq(models[[1]]) 

\[ \log\left[ \frac { P( \operatorname{commented} = \operatorname{TRUE} ) }{ 1 - P( \operatorname{commented} = \operatorname{TRUE} ) } \right] = \alpha + \beta_{1}(\operatorname{assets\_b}) + \beta_{2}(\operatorname{org\_type}_{\operatorname{Credit\ union}}) + \beta_{3}(\operatorname{org\_type}_{\operatorname{Non-profit}}) \]

modelsummary(models)
Model 1 Model 2
Dependent Variable Commented Commented
Assets (in Billions) 0.013*** 0.904***
(0.002) (0.267)
Credit union −1.969*** −1.948***
(0.105) (0.106)
Non-profit −4.322*** −4.315***
(0.044) (0.044)
Assets x Credit union −0.894***
(0.267)
Assets x Non-profit −0.889***
(0.267)
Num.Obs. 489433 489433
Log.Lik. −12337.456 −12332.171
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
# modelplot(models)

save(models, rows, cm, gof_map, modelsummary,
     file = here::here("models", "mpAll.Rdata"))

TODO

Priorities for matching that will give us the most leverage:

Analyses to clean up and add to the paper

  • Lobbying expenditures from CRP (replication of all PAC figures and models)

  • Nonprofit revenue (maybe just add the revenue figures and models to the appendix)

  • the full (best-ish) model includes nonprofits, credit unions, and each type of bank as separate org_types. This model is run above but needs to be investigated

Presentation

  • Predicted probability plots for all models presented in the paper. These should replace all tables. All tables should appear in the appendix.

  • Nonprofit and credit union plots for the correlation between assets and sophistication